A carbon emission control method based on carbon footprint data

Abstract

The present invention relates to the field of carbon emissions, and discloses a carbon emission control method based on carbon footprint data, comprising: querying a target factory name in an industrial product information database to obtain multiple industrial product names corresponding to the target factory name and the annual production volume corresponding to each industrial product name, querying the target industrial product name in a preset industrial product carbon footprint information table to obtain industrial product carbon footprint information corresponding to the target industrial product name, querying each greenhouse gas type in a global warming potential value list to obtain the global warming potential value corresponding to each greenhouse gas type, and on this basis, obtaining industrial product carbon footprint data of multiple factories, classifying the factories according to the industrial product carbon footprint data of the multiple factories, and implementing different emission control schemes for factories of different grades, thereby achieving the reduction of carbon emissions and strengthening the targeted control of factories by industrial parks.

Description

Technical Field

[0001] The present invention relates to the field of carbon emissions, and in particular to a carbon emission control method based on carbon footprint data. Background Art

[0002] The concept of "carbon footprint" originates from "ecological footprint", which mainly uses carbon dioxide emission equivalent (CO2equivalent, referred to as: CO2eq) to represent the total greenhouse gas emissions emitted during human production and consumption activities. Compared with single carbon dioxide emissions, carbon footprint uses life cycle assessment method to evaluate the greenhouse gas emissions directly or indirectly generated by the research object during its life cycle. For the same object, the difficulty and scope of carbon footprint calculation are greater than carbon emissions, and its calculation results contain information on carbon emissions.

[0003] Existing carbon emission control methods often have the following technical problems:

[0004] First, most factories are concentrated in industrial parks, where carbon emissions are often high. The existing carbon emission control method is to uniformly adjust the carbon emissions of all factories, which lacks specificity.

[0005] Second, the existing carbon emission calculation methods for industrial products usually directly calculate the carbon emissions of industrial products. The calculated results are far from the actual carbon emissions of industrial products, which causes factories to fail to achieve the expected effect when controlling carbon emissions.

[0006] Third, when factories discover that the air quality is poor, they usually implement emission control plans, such as reducing carbon emissions by reducing production. Generally, the production volume of a certain product or multiple products is reduced, but there is a lack of specific production reduction indicators, resulting in the air quality after the production reduction not meeting expectations. Summary of the invention

[0007] The summary of the invention is used to introduce concepts in a brief form, which will be described in detail in the detailed implementation section below. The summary of the invention is not intended to identify the key features or essential features of the technical solution claimed for protection, nor is it intended to limit the scope of the technical solution claimed for protection.

[0008] The present invention proposes a carbon emission control method based on carbon footprint data to solve one or more of the technical problems mentioned in the above background technology part.

[0009] The present invention provides a carbon emission control method based on carbon footprint data, comprising:

[0010] Establishing an industrial product information database of the target industrial park, wherein the industrial product information in the industrial product information database includes: multiple factory names, multiple industrial product names corresponding to each factory name, and the annual production volume corresponding to each industrial product name;

[0011] For a target factory name among multiple factory names, query the industrial product information database to obtain multiple industrial product names corresponding to the target factory name and the annual production volume corresponding to each industrial product name; any one of the multiple industrial product names corresponding to the target factory name is used as the target industrial product name;

[0012] For the target industrial product name, query in the preset industrial product carbon footprint information table to obtain the industrial product carbon footprint information corresponding to the target industrial product name; wherein the industrial product carbon footprint information corresponding to the target industrial product name includes multiple greenhouse gas types emitted corresponding to the target industrial product name and emission weight information corresponding to each greenhouse gas type;

[0013] For each greenhouse gas type, query in the global warming potential value list to obtain the global warming potential value corresponding to each greenhouse gas type; obtain the carbon footprint data of each greenhouse gas type according to the emission weight information corresponding to each greenhouse gas type and the global warming potential value corresponding to each greenhouse gas type; obtain the first carbon footprint data of the target industrial product represented by the target industrial product name according to the annual production volume corresponding to the target industrial product name and the carbon footprint data of each greenhouse gas type;

[0014] According to the first carbon footprint data of multiple industrial products, the industrial product carbon footprint data of the target factory represented by the target factory name is obtained; according to the industrial product carbon footprint data of the multiple factories, the multiple factories are graded, and different emission control plans are implemented for factories of different grades.

[0015] Optionally, obtaining the first carbon footprint data of the target industrial product represented by the target industrial product name according to the annual production volume corresponding to the target industrial product name and the carbon footprint data of each greenhouse gas type also includes:

[0016] Take the target industrial product name as the current traceability object and perform the following emission traceability steps for the current traceability object:

[0017] Determine the name of the traceable substance corresponding to the current traceability object, and determine the first carbon footprint data corresponding to the traceable substance name, and generate the first carbon footprint data of the Nth traceability according to the first carbon footprint data of the current traceability object and the first carbon footprint data corresponding to the traceable substance name; if the value of N is greater than 1, and the error rate between the first carbon footprint data of the Nth traceability and the first carbon footprint data of the N-1th traceability is less than or equal to the preset error rate, then stop the traceability, and use the first carbon footprint data of the Nth traceability as the first carbon footprint data of the target industrial product represented by the name of the target industrial product;

[0018] If the value of N is equal to 1, or the error rate between the first carbon footprint data of the Nth traceability and the first carbon footprint data of the N-1th traceability is greater than the preset error rate, the traceable substance name is used as the current traceability object, the value of N is increased by 1, and the emission traceability step is continued.

[0019] Optionally, the industrial product information in the industrial product information database includes a traceability threshold corresponding to each industrial product name; and

[0020] If the value of N is equal to 1, or the error rate between the first carbon footprint data of the Nth traceback and the first carbon footprint data of the N-1th traceback is greater than the preset error rate, the name of the traceable substance is used as the name of the target industrial product, the value of N is increased by 1, and the emission traceability steps are continued, including:

[0021] If the value of N is equal to 1, or the error rate between the first carbon footprint data of the Nth tracing and the first carbon footprint data of the N-1th tracing is greater than the preset error rate, it is determined whether the value of the tracing times N is greater than or equal to the tracing times threshold;

[0022] If the value of the tracing times N is less than the tracing times threshold, the value of N is increased by 1, and the emission tracing step is continued;

[0023] If the value of the traceability number N is greater than or equal to the traceability number threshold, the traceability is stopped, where the traceability number threshold corresponding to each industrial product name is determined according to the following steps:

[0024] For each industrial product name, a historical traceability record set corresponding to the industrial product name is obtained, each historical traceability record in the historical traceability record set includes the number of tracebacks when the traceback is stopped and the traceback stop reason category; the historical traceability record set is grouped according to the traceback stop reason category to obtain multiple historical traceability record groups, each historical traceability record group corresponds to a traceback stop reason category, and the traceback stop reason category is one of the following: the error rate between the first carbon footprint data of the Nth traceback and the first carbon footprint data of the N-1th traceback is less than or equal to the preset error rate, a traceback stop instruction is received, and a traceback exception occurs; a corresponding weight is assigned to each traceback stop reason category, and the average traceback number corresponding to each industrial product name is calculated according to the corresponding weight, and the average traceback number is determined as the traceback number threshold.

[0025] Optionally, different emission control solutions can be implemented for different levels of plants, including:

[0026] According to the annual production volume corresponding to each industrial product name of each factory, the main industrial product of each factory is determined; the main industrial products of each factory are compared to determine whether the main industrial products of each factory are the same, and the factories with the same main industrial products are determined as similar factory groups to obtain multiple similar factory groups;

[0027] For each similar factory group, if the grades of the factories in each similar factory group are different, the factory with the lowest grade in each similar factory group shall be taken as the target factory, and the carbon footprint data corresponding to the main industrial products produced per unit weight of the target factory shall be taken as the standard carbon footprint data;

[0028] Determine the carbon footprint adjustment factor for each factory in each similar factory group based on the carbon footprint data corresponding to the main industrial products produced per unit weight of each factory in each similar factory group and the standard carbon footprint data;

[0029] According to the carbon footprint adjustment factor, query and implement the corresponding emission control plan.

[0030] Optionally, the preset error rate is generated by the following steps:

[0031] According to the target industrial product name, query in the preset industrial product carbon footprint information table to obtain multiple factory names corresponding to the target industrial product name, the error rate configured for the target industrial product name by the factory represented by each factory name, the configuration time and update cycle corresponding to each error rate, and the error rates corresponding to the multiple factory names respectively constitute an error rate group corresponding to the target industrial product name;

[0032] According to the configuration time and update cycle corresponding to each error rate, the error rate group is screened to obtain a screened error rate group; according to the screened error rate group, a preset error rate corresponding to the target industrial product name is obtained.

[0033] The present invention has the following beneficial effects:

[0034] 1. Effectively reduce the carbon emissions of industrial parks and strengthen the targeted control of industrial parks over factories. Specifically, by implementing different emission control plans for each factory, the targeted control of industrial parks over factories is strengthened. In practice, industrial parks implement unified carbon emission control for each factory, which lacks targeting. Therefore, the factories are graded according to carbon footprint data, and different emission control plans are implemented to reduce the carbon emissions of each factory, thereby reducing the carbon emissions of industrial parks and strengthening the targeted control of industrial parks over factories.

[0035] 2. The factory has more precise control over carbon emissions. Specifically, by tracing the carbon emissions of industrial products and stopping tracing when the error rate of the carbon footprint data is less than the preset error rate, the first carbon footprint data of the industrial products is obtained, thereby strengthening the factory's control over carbon emissions. In practice, factories usually directly calculate the carbon emissions during the use of industrial products without tracing the industrial products, resulting in a large gap between the obtained carbon emissions of industrial products and the actual carbon emissions of industrial products, making it impossible for the factory to accurately control carbon emissions. Therefore, by tracing the carbon emissions of industrial products and stopping tracing when the error rate of the carbon footprint data is less than the preset error rate, the first carbon footprint data of the industrial products obtained is more accurate, thereby making the factory's control over carbon emissions more precise.

[0036] 3. Accurate production reduction of the factory is achieved. Specifically, by generating production plans for multiple industrial products corresponding to the target factory name, accurate production reduction of the factory is achieved. In practice, if the air quality is poor, factory personnel will issue production reduction instructions based on historical experience, generally for major industrial products, but the air quality after the production reduction may not meet the expected standards. Therefore, the adjustment coefficient corresponding to the target factory name is obtained through the air quality index adjustment coefficient, and the production plans for multiple industrial products corresponding to the target factory name are generated according to the adjustment coefficient corresponding to the target factory name and the carbon footprint balance corresponding to each industrial product name, achieving accurate production reduction of the factory, thereby improving air quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The above and other features, advantages and aspects of the embodiments of the present invention will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the accompanying drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and that components and elements are not necessarily drawn to scale.

[0038] Figure 1 It is a flow chart of a carbon emission control method based on carbon footprint data of the present invention.

[0039] Figure 2 It is an example diagram of the target industrial product traceability process of the present invention. DETAILED DESCRIPTION

[0040] The present invention will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be construed as being limited to the embodiments set forth herein. On the contrary, these embodiments are provided to provide a more thorough and complete understanding of the present invention. It should be understood that the drawings and embodiments of the present invention are only for exemplary purposes and are not intended to limit the scope of protection of the present invention.

[0041] It should also be noted that, for ease of description, only the parts related to the invention are shown in the drawings. In the absence of conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other.

[0042] It should be noted that the concepts such as "first" and "second" mentioned in the present invention are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0043] It should be noted that the modifications of "one" and "plurality" mentioned in the present invention are illustrative rather than restrictive, and those skilled in the art should understand that, unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0044] The names of the messages or information exchanged between multiple devices of the present invention are only for illustrative purposes, and are not used to limit the scope of these messages or information.

[0045] The present invention will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments.

[0046] like Figure 1 FIG. 1 is a flow chart showing a carbon emission control method based on carbon footprint data of the present invention. Specifically, the following steps are included:

[0047] Step 101, establish an industrial product information database of the target industrial park, the industrial product information in the industrial product information database includes: multiple factory names, multiple industrial product names corresponding to each factory name, and annual production volume corresponding to each industrial product name.

[0048] In some embodiments, the execution subject of a carbon emission control method based on carbon footprint data of the present invention may be a server side. In practice, the execution subject locally establishes an industrial product information database of multiple industrial parks, and the target industrial park may be any one of the multiple industrial parks. On this basis, the execution subject obtains the industrial product information database of the target industrial park, and the industrial product information in the industrial product information database includes: multiple factory names, multiple industrial product names corresponding to each factory name, and the annual production volume corresponding to each industrial product name. Among them, the multiple factory names are the factory names of each factory in the target industrial park, the multiple industrial product names corresponding to each factory name are the industrial product names of each industrial product produced by each factory, and the annual production volume corresponding to each industrial product name is the annual production volume of each industrial product.

[0049] Step 102, for the target factory name among the multiple factory names, query the industrial product information database to obtain multiple industrial product names corresponding to the target factory name and the annual production volume corresponding to each industrial product name; any one of the multiple industrial product names corresponding to the target factory name is used as the target industrial product name.

[0050] In some embodiments, the target factory name may be any one of multiple factory names. On this basis, the target factory name is queried in the industrial product information database to obtain multiple industrial product names corresponding to the target factory name and the annual production volume corresponding to each industrial product name, and any one of the multiple industrial product names corresponding to the target factory name is selected as the target industrial product name. The target industrial product name may be industrial product A, and the annual production volume corresponding to the target industrial product name may be 1000 kilograms.

[0051] Step 103, for the target industrial product name, query in the preset industrial product carbon footprint information table to obtain the industrial product carbon footprint information corresponding to the target industrial product name; wherein the industrial product carbon footprint information corresponding to the target industrial product name includes multiple greenhouse gas types emitted corresponding to the target industrial product name and emission weight information corresponding to each greenhouse gas type.

[0052] In some embodiments, the execution subject has a local preset industrial product carbon footprint information table, and the industrial product carbon footprint information in the industrial product carbon footprint information table includes multiple industrial product names, multiple greenhouse gas types corresponding to each industrial product name, and emission weight information corresponding to each greenhouse gas type. On this basis, the target industrial product name is queried in the industrial product carbon footprint information table to obtain the multiple greenhouse gas types corresponding to the target industrial product name and the emission weight information corresponding to each greenhouse gas type. Among them, the multiple greenhouse gas types corresponding to the target industrial product name can be CO2, CH4, and N2O, and the emission weight information corresponding to each greenhouse gas type is the weight information of each greenhouse gas emitted per kilogram of industrial product A. As an example, the emission weight information corresponding to CO2 can be 0.1 kilograms, the emission weight information corresponding to CH4 can be 0.1 kilograms, and the emission weight information corresponding to N2O can be 0.1 kilograms.

[0053] Step 104, for each greenhouse gas type, search in the global warming potential value list to obtain the global warming potential value corresponding to each greenhouse gas type; obtain the carbon footprint data of each greenhouse gas type based on the emission weight information corresponding to each greenhouse gas type and the global warming potential value corresponding to each greenhouse gas type; obtain the first carbon footprint data of the target industrial product represented by the target industrial product name based on the annual production volume corresponding to the target industrial product name and the carbon footprint data of each greenhouse gas type.

[0054] In some embodiments, the execution subject locally stores a global warming potential list, which includes the global warming potential corresponding to each greenhouse gas type, wherein the global warming potential is based on carbon dioxide, and the global warming capacity of 1 kg of carbon dioxide is defined as 1, and the global warming potential of other greenhouse gases is expressed as a ratio to carbon dioxide. On this basis, each greenhouse gas type is queried in the global warming potential list to obtain the global warming potential corresponding to each greenhouse gas type. As an example, the global warming potential corresponding to each kilogram of CO2 is 1 kilogram of carbon dioxide equivalent, the global warming potential corresponding to each kilogram of CH4 is 27.9 kilograms of carbon dioxide equivalent, and the global warming potential corresponding to each kilogram of N2O is 273 kilograms of carbon dioxide equivalent. As an example, the emission weight information corresponding to CO2 can be 0.1 kilogram, the emission weight information corresponding to CH4 can be 0.1 kilogram, and the emission weight information corresponding to N2O can be 0.1 kilogram. The emission weight information corresponding to each greenhouse gas type and the global warming potential value corresponding to each greenhouse gas type are multiplied to obtain the carbon footprint data of each greenhouse gas type. The carbon footprint data of CO2 is 0.1 kg of carbon dioxide equivalent, the carbon footprint data of CH4 is 2.79 kg of carbon dioxide equivalent, and the carbon footprint data of N2O is 27.3 kg of carbon dioxide equivalent. In practice, the carbon footprint data of each greenhouse gas type is added together to obtain the carbon footprint data of each kilogram of industrial product A, which is 30.19 kg of carbon dioxide equivalent. The carbon footprint data of each kilogram of industrial product A is multiplied by the annual production of industrial product A, 1000 kg, to obtain the carbon footprint data of industrial product A each year, which is used as the first carbon footprint data of industrial product A. The first carbon footprint data of industrial product A is 30190 kg of carbon dioxide equivalent.

[0055] Step 105, obtaining industrial product carbon footprint data of a target factory represented by the name of the target factory based on the first carbon footprint data of the multiple industrial products; classifying the multiple factories based on the industrial product carbon footprint data of the multiple factories, and implementing different emission control plans for factories of different grades.

[0056] In some embodiments, the first carbon footprint data calculation method of industrial product A is executed for multiple industrial products to obtain the first carbon footprint data of multiple industrial products, and the first carbon footprint data of multiple industrial products are added to obtain the first carbon footprint data of the industrial products of the target factory as the industrial product carbon footprint data of the target factory. In practice, the industrial product carbon footprint data calculation method of the target factory is executed for multiple factories to obtain the industrial product carbon footprint data of multiple factories. Among them, the execution subject locally stores a factory carbon footprint grade classification table, and the factory carbon footprint grade classification table includes grades and carbon footprint data intervals corresponding to each grade. On this basis, the industrial product carbon footprint data of multiple factories are matched with the carbon footprint data intervals corresponding to each grade in the factory carbon footprint grade classification table to obtain the grade of each factory, and different emission control schemes are implemented for factories of different grades. Among them, the emission control scheme is a scheme for emission management of the carbon footprint data of the factory, which can be a scheme for controlling the factory to reduce production. The proportion of production reduction corresponding to factories of different grades is different, and the proportion of production reduction corresponding to the higher grade factory is greater. As an example, the level of a factory can be divided into level one, level two, and level three, among which level one is the highest level and level three is the lowest level; the emission control plan corresponding to a level one factory may be a plan to control the factory's production reduction by 20%, the emission control plan corresponding to a level two factory may be a plan to control the factory's production reduction by 10%, and the emission control plan corresponding to a level three factory may be a plan to control the factory's production reduction by 5%.

[0057] In these embodiments, the carbon emissions of the industrial park are effectively reduced, and the supervision of the industrial park over the factories is strengthened. Specifically, by implementing emission control schemes for each factory, the supervision of the industrial park over the factories is strengthened. In practice, the industrial park has never implemented carbon emission control on the factories, resulting in high carbon emission data in the industrial park. Therefore, the factories are graded according to the carbon footprint data, and different emission control schemes are implemented to reduce the carbon emissions of each factory, thereby reducing the carbon emissions of the industrial park and strengthening the supervision of the industrial park over the factories.

[0058] In some embodiments, in order to further solve the second technical problem described in the background technology section, namely, "the existing industrial product carbon emission calculation method usually directly calculates the carbon emissions of industrial products, and the calculated results are far from the actual carbon emissions of industrial products, resulting in the factory failing to achieve the expected effect when controlling carbon emissions", in some embodiments of the present invention, according to the annual production volume corresponding to the target industrial product name and the carbon footprint data of each greenhouse gas type, the first carbon footprint data of the target industrial product represented by the target industrial product name is obtained, and the following steps are also included:

[0059] Step 1: Take the target industrial product name as the current traceability object and perform the following emission traceability steps for the current traceability object.

[0060] In some embodiments, Figure 2 As shown in the example diagram of the target industrial product traceability process, the name of the target industrial product is A. A is taken as the current traceability object, and the following emission traceability steps are performed for A.

[0061] Step 2: Determine the name of the traceable substance corresponding to the current traceability object, and determine the first carbon footprint data corresponding to the traceable substance name, and generate the first carbon footprint data of the Nth traceability according to the first carbon footprint data of the current traceability object and the first carbon footprint data corresponding to the traceability substance name; if the value of N is greater than 1, and the error rate between the first carbon footprint data of the Nth traceability and the first carbon footprint data of the N-1th traceability is less than or equal to the preset error rate, then stop the traceability, and use the first carbon footprint data of the Nth traceability as the first carbon footprint data of the target industrial product represented by the target industrial product name.

[0062] In some embodiments, the execution entity locally stores Figure 2The traceability process diagram of multiple industrial products in the example includes multiple traceability material names corresponding to the industrial products and multiple traceability material weights corresponding to the industrial products per unit weight, wherein the multiple traceability material names are the names of the various materials used in the production process of the industrial products, and the multiple traceability material weights corresponding to the industrial products per unit weight are the weights corresponding to the multiple traceability materials used when producing the industrial products per unit weight. On this basis, the traceability process diagram of the current traceability object is queried to obtain the traceability material name corresponding to the current traceability object, and the traceability material name is queried in the industrial product carbon footprint information table to obtain the multiple greenhouse gas types emitted corresponding to the traceability material name and the emission weight information corresponding to each greenhouse gas type. The first carbon footprint data corresponding to the traceability material name is obtained by the calculation method of the first carbon footprint data of the industrial product mentioned above, and the first carbon footprint data corresponding to the traceability material name is added to obtain the first carbon footprint data of the Nth traceability, wherein N represents the number of traceability times for the current traceability object. If the value of N is greater than 1, the first carbon footprint data of the Nth tracing is subtracted from the first carbon footprint data of the N-1th tracing to obtain the carbon footprint data difference between the first carbon footprint data of the Nth tracing and the first carbon footprint data of the N-1th tracing, and the carbon footprint data difference is used to obtain the quotient of the first carbon footprint data of the N-1th tracing to obtain the error rate between the first carbon footprint data of the Nth tracing and the first carbon footprint data of the N-1th tracing. If the error rate between the first carbon footprint data of the Nth tracing and the first carbon footprint data of the N-1th tracing is less than or equal to the preset error rate, the tracing is stopped, and the first carbon footprint data of the Nth tracing is used as the first carbon footprint data of the target industrial product represented by the name of the target industrial product. The preset error rate is determined by manual experience.

[0063] Step 3: If the value of N is equal to 1, or the error rate between the first carbon footprint data of the Nth traceability and the first carbon footprint data of the N-1th traceability is greater than the preset error rate, the traceable substance name is used as the current traceability object, the value of N is increased by 1, and the emission traceability step is continued.

[0064] In some embodiments, as an example, if the value of N is 1, the value of N is increased by 1, and the emission tracing step is continued; or when the value of N is greater than 1, if the error rate between the first carbon footprint data of the Nth tracing and the first carbon footprint data of the N-1th tracing is greater than a preset error rate, the name of the traceable substance is used as the updated current tracing object, and the value of N is increased by 1, and the emission tracing step is continued for the updated current tracing object.

[0065] As an example, set the value of N to 1, the name of the traceable substance for the first traceability is B, the types of greenhouse gases emitted corresponding to B are CO2, CH4 and N2O, the emission weight information of CO2 is 0.2 kg, the emission weight information of CH4 is 0.2 kg, and the emission weight information of N2O is 0.2 kg. Through the calculation method of the first carbon footprint data of industrial products mentioned above, the first carbon footprint data corresponding to the traceable substance B is 6038 kg of carbon dioxide equivalent. The first carbon footprint data of A is added to the first carbon footprint data corresponding to the traceable substance B, and the first carbon footprint data of the first traceability is 36228 kg of carbon dioxide equivalent. At this time, the value of N is equal to 1. Execute the above step 3, add 1 to the value of N, and perform the second traceability for the traceable substance B. Execute the above step 2. The name of the traceable substance for the second traceability is C. The types of greenhouse gases emitted corresponding to C are CO2, CH4 and N2O. The emission weight information of CO2 is 0.3 kg, the emission weight information of CH4 is 0.3 kg, and the emission weight information of N2O is 0.3 kg. Through the calculation method of the first carbon footprint data of industrial products, the first carbon footprint data corresponding to the traceable substance C is 1811.4 kg of carbon dioxide equivalent. The first carbon footprint data of A, the first carbon footprint data corresponding to the traceable substance B and the first carbon footprint data corresponding to the traceable substance C are added together to obtain the first carbon footprint data of the second traceability, which is 38039.4 kg of carbon dioxide equivalent. The difference between the first carbon footprint data of the second tracing and the first carbon footprint data of the first tracing is calculated, and the carbon footprint data difference is 1811.4. The carbon footprint data difference is calculated and the first carbon footprint data of the first tracing is converted into a percentage to obtain an error rate of 5% between the first carbon footprint data of the second tracing and the first carbon footprint data of the first tracing. The error rate is compared with the preset error rate. If the error rate is less than or equal to the preset error rate, the tracing is stopped, and the first carbon footprint data of the second tracing is used as the first carbon footprint data of A. If the error rate is greater than the preset error rate, the value of N is increased by 1, and the third tracing is performed for the traceable substance C, and the above step 2 is continued until the error rate between the first carbon footprint data of the Nth tracing and the first carbon footprint data of the N-1th tracing is less than or equal to the preset error rate, and the first carbon footprint data of the Nth tracing is used as the first carbon footprint data of A.

[0066] Among them, the industrial product information in the industrial product information database includes the traceability threshold corresponding to each industrial product name.

[0067] On this basis, if the value of N is equal to 1, or the error rate between the first carbon footprint data of the Nth traceback and the first carbon footprint data of the N-1th traceback is greater than the preset error rate, the name of the traceable substance is used as the name of the target industrial product, and the value of N is increased by 1, and the emission tracing step is continued, which also includes the following steps:

[0068] Step 1: If the value of N is equal to 1, or the error rate between the first carbon footprint data of the Nth tracing and the first carbon footprint data of the N-1th tracing is greater than the preset error rate, it is determined whether the value of the tracing times N is greater than or equal to the tracing times threshold.

[0069] In some embodiments, if the value of N is equal to 1, or the error rate between the first carbon footprint data of the Nth tracing and the first carbon footprint data of the N-1th tracing is greater than the preset error rate, the value of the tracing times N is compared with the tracing times threshold to determine whether the value of the tracing times N is greater than or equal to the tracing times threshold. The tracing times threshold is determined by manual experience.

[0070] Step 2: If the value of the tracing times N is less than the tracing times threshold, the value of N is increased by 1, and the emission tracing step is continued.

[0071] In some embodiments, if after comparing the value of the tracing number N with the tracing number threshold, the value of the tracing number N is less than the tracing number threshold, the value of N is increased by 1, and the emission tracing step is continued.

[0072] Step 3: If the value of the tracing times N is greater than or equal to the tracing times threshold, stop tracing.

[0073] In some embodiments, if after comparing the value of the tracing number N with the tracing number threshold, the value of the tracing number N is greater than or equal to the tracing number threshold, the emission tracing step is stopped.

[0074] The traceability threshold for each industrial product name is determined according to the following steps:

[0075] Sub-step one: for each industrial product name, obtain a historical traceability record set corresponding to the industrial product name, each historical traceability record in the historical traceability record set includes the number of tracebacks when the traceback is stopped and the traceback stop reason category; group the historical traceability record set according to the traceback stop reason category to obtain multiple historical traceability record groups, each historical traceability record group corresponds to a traceback stop reason category, and the traceback stop reason category is one of the following: the error rate between the first carbon footprint data of the Nth traceback and the first carbon footprint data of the N-1th traceback is less than or equal to the preset error rate, a traceback stop instruction is received, and a traceback exception occurs; assign a corresponding weight to each traceback stop reason category, and calculate the average traceback number corresponding to each industrial product name according to the corresponding weight, and determine the average traceback number as the traceback number threshold.

[0076] In some embodiments, the execution subject locally stores a historical tracing record set of each industrial product, wherein the historical tracing record in the historical tracing record set includes the number of tracing times when the tracing stops and the category of the tracing stop reason, wherein the category of the tracing stop reason can be: the error rate between the first carbon footprint data of the Nth tracing and the first carbon footprint data of the N-1th tracing is less than or equal to the preset error rate, receiving a stop tracing instruction, and the occurrence of a tracing exception. On this basis, for each industrial product name, a historical tracing record set corresponding to the industrial product name is obtained. The historical tracing record set is grouped by the tracing stop reason category to obtain multiple historical tracing record groups, and each historical tracing record group corresponds to a tracing stop reason category. In practice, the weight is divided according to the tracing stop reason category, and the number of tracing times of each historical tracing record in each historical tracing record group when the tracing stops is averaged to obtain the average number of tracing times of each historical tracing record group, and the weight corresponding to each tracing stop reason category is multiplied by the average number of tracing times of each historical tracing record group and then added. If the result obtained contains a decimal, the result obtained is rounded off, and the final result is used as the average number of tracing times corresponding to each industrial product name, and the average number of tracing times is determined as the tracing times threshold. As an example, if the error rate between the first carbon footprint data of the Nth tracing and the first carbon footprint data of the N-1th tracing for the tracing stop reason category is less than or equal to the preset error rate, the corresponding weight is 0.5, and the average number of tracing times of the corresponding historical tracing record group is 10; the weight corresponding to the tracing stop reason category of receiving a tracing stop instruction is 0.3, and the average number of tracing times of the corresponding historical tracing record group is 4; the weight corresponding to the tracing stop reason category of the occurrence of a tracing abnormality is 0.2, and the average number of tracing times of the corresponding historical tracing record group is 3. The weights corresponding to each tracing stop reason category and the average number of tracing times of each historical tracing record group are multiplied and added, and the result is 6.8. After rounding to the nearest integer, the final result is 7. The average number of traceability times corresponding to the industrial product name is 7, and the traceability number threshold is 7.

[0077] Among them, different emission control plans are implemented for factories of different levels, and the following steps are also included:

[0078] Step 1: Determine the main industrial products of each factory based on the annual production volume of each industrial product name corresponding to each factory; compare the main industrial products of each factory to determine whether the main industrial products of each factory are the same, and determine the factories with the same main industrial products as similar factory groups to obtain multiple similar factory groups.

[0079] In some embodiments, the annual production volumes corresponding to the names of each industrial product of each factory are compared, and the industrial product with the largest annual production volume is taken as the main industrial product of each factory. In practice, the main industrial products of each factory are compared. If the main industrial products of multiple factories are the same, the multiple factories are grouped into similar factory groups, thereby obtaining multiple similar factory groups.

[0080] Step 2: For each similar factory group, if the grades of the factories in each similar factory group are different, the factory with the lowest grade in each similar factory group is taken as the target factory, and the carbon footprint data corresponding to the main industrial products produced per unit weight of the target factory is taken as the standard carbon footprint data.

[0081] In some embodiments, in the above embodiments, the grade of each factory is divided according to the carbon footprint data. On this basis, for each similar factory group, if the grades of each factory in each similar factory group are different, the factory with the lowest grade in each similar factory group is selected as the target factory, and the carbon footprint data corresponding to the unit weight of the main industrial products produced by the target factory is used as the standard carbon footprint data. If there are multiple factories with the lowest grade in each similar factory group, the carbon footprint data corresponding to the unit weight of the main industrial products produced by the multiple factories are averaged, and the average carbon footprint data is used as the standard carbon footprint data.

[0082] Step three, determine the carbon footprint adjustment coefficient of each factory in each similar factory group based on the carbon footprint data corresponding to the main industrial products produced per unit weight of each factory in each similar factory group and the standard carbon footprint data.

[0083] In some embodiments, the carbon footprint data corresponding to the main industrial products produced per unit weight of each factory in each similar factory group is divided by the standard carbon footprint data to obtain the carbon footprint adjustment coefficient of each factory in each similar factory group.

[0084] Step 4: Query and implement the corresponding emission control plan based on the carbon footprint adjustment factor.

[0085] In some embodiments, the execution subject locally stores multiple emission control schemes, each of which corresponds to a carbon footprint adjustment coefficient interval. On this basis, the carbon footprint adjustment coefficient interval of each factory is determined to obtain the emission control scheme corresponding to each factory.

[0086] The preset error rate is generated by the following steps:

[0087] Step 1: According to the target industrial product name, query in the preset industrial product carbon footprint information table to obtain multiple factory names corresponding to the target industrial product name, the error rate configured for the target industrial product name by the factory represented by each factory name, the configuration time and update cycle corresponding to each error rate, and the error rates corresponding to the multiple factory names constitute the error rate group corresponding to the target industrial product name.

[0088] In some embodiments, the industrial product carbon footprint information in the preset industrial product carbon footprint information table also includes the error rate configured for the target industrial product name by the factory represented by each factory name, the configuration time and update cycle corresponding to each error rate, wherein the error rate configured for the target industrial product name by the factory represented by each factory name is obtained by dividing the difference between the carbon footprint data corresponding to the target industrial product name of a time period and the carbon footprint data corresponding to the target industrial product name of the previous time period by the carbon footprint data corresponding to the target industrial product name of the previous time period, and each error rate The configuration time corresponding to the configuration time is the time to update the error rate, and the update cycle is the time difference between the time of this update of the error rate and the time of the last update of the error rate, which can be three months. On this basis, for the target industrial product name, query in the preset industrial product carbon footprint information table to obtain multiple factory names corresponding to the target industrial product name, the error rate configured for the target industrial product name by the factory represented by each factory name, and the configuration time and update cycle corresponding to each error rate, and the error rates corresponding to the multiple factory names are respectively formed into an error rate group corresponding to the target industrial product name.

[0089] Step 2: Filter the error rate group according to the configuration time and update cycle corresponding to each error rate to obtain a filtered error rate group; and obtain the preset error rate corresponding to the target industrial product name according to the filtered error rate group.

[0090] In some embodiments, the difference between the configuration time corresponding to each error rate and the current time is calculated, and then the difference between the current time and the update period is calculated. The difference between the configuration time corresponding to each error rate and the current time is divided by the difference between the current time and the update period. If the result is greater than or equal to 1, the error rate is eliminated from the error rate group. If the result is less than 1, the error rate is used as a screening error rate, and multiple screening error rates are combined into a screening error rate group. The average of each screening error rate in the screening error rate group is calculated, and the average screening error rate obtained is used as the preset error rate corresponding to the target industrial product name.

[0091] In these embodiments, the factory has more precise control over carbon emissions. Specifically, by tracing the carbon emissions of industrial products and stopping tracing when the error rate of the carbon footprint data is less than the preset error rate, the first carbon footprint data of the industrial products is obtained, thereby strengthening the factory's control over carbon emissions. In practice, factories usually directly calculate the carbon emissions during the use of industrial products without tracing the industrial products, resulting in a large gap between the obtained carbon emissions of industrial products and the actual carbon emissions of industrial products, making it impossible for the factory to accurately control carbon emissions. Therefore, by tracing the carbon emissions of industrial products and stopping tracing when the error rate of the carbon footprint data is less than the preset error rate, the first carbon footprint data of the industrial products obtained is more accurate, thereby making the factory's control over carbon emissions more precise.

[0092] In some embodiments, in order to further solve the technical problem 3 described in the background technology section, that is, "when a factory finds that the air quality is poor, it usually implements an emission control plan, such as reducing carbon emissions by reducing production, generally reducing the production volume of a certain product or multiple products, but lacking specific production reduction indicators, resulting in the air quality after the production reduction failing to meet expectations", in some embodiments of the present invention, the carbon emission control method based on carbon footprint data of the present invention further includes the following steps:

[0093] Step 1: Get the current air quality index. For the current air quality index, query in a preset air quality index information table to get the current air quality index level.

[0094] In some embodiments, the execution subject locally stores a preset air quality index information table, and the information in the air quality index information table includes multiple air quality index intervals and the air quality index level corresponding to each air quality index interval. As an example, the multiple air quality index intervals may be 0-50, 51-100, 101-150, 151-300, >300, and the air quality index level corresponding to each air quality index interval is level I, level II, level III, level IV, and level V, respectively. On this basis, the current air quality index is queried in the open source air monitoring platform. The current air quality index may be 121. For the current air quality index, the preset air quality index information table is queried to obtain the current air quality index level, which may be level III.

[0095] Step 2: If the current air quality index level is higher than the preset air quality index level, the maximum air quality index in the air quality index range corresponding to the preset air quality index level is determined as the target air quality index; and the air quality index adjustment coefficient is determined based on the current air quality index and the target air quality index.

[0096] In some embodiments, the preset air quality index level may be level II, and the current air quality index level may be level III. If the current air quality index level is higher than the preset air quality index level, the maximum air quality index in the air quality index interval corresponding to the preset air quality index level is determined as the target air quality index, and the target air quality index may be 100. In practice, the current air quality index and the target air quality index are subtracted, and the obtained difference is then divided by the target air quality index to obtain the air quality index adjustment coefficient, which may be 0.21.

[0097] Step three: configure corresponding weights for each level of factory, and obtain the adjustment coefficient corresponding to each level of factory according to the air quality index adjustment coefficient and the weight corresponding to each level of factory.

[0098] In some embodiments, different weights are configured for factories of each level, and the air quality index adjustment coefficient is multiplied by the weight corresponding to each level of factories to obtain the adjustment coefficient corresponding to each level of factories.

[0099] Step 4: Obtain the carbon footprint account corresponding to the target factory name. The carbon footprint account includes multiple industrial product names, the carbon footprint data corresponding to each industrial product name, and the maximum rated carbon footprint data corresponding to each industrial product name. According to the carbon footprint data corresponding to each industrial product name and the maximum rated carbon footprint data corresponding to each industrial product name, obtain the carbon footprint balance corresponding to each industrial product.

[0100] In some embodiments, the execution subject locally stores carbon footprint accounts corresponding to various factory names, and the carbon footprint accounts include multiple industrial product names, carbon footprint data corresponding to each industrial product name, and maximum rated carbon footprint data corresponding to each industrial product name, wherein the carbon footprint data corresponding to each industrial product name is obtained by the calculation method in the above embodiment, and the maximum rated carbon footprint data corresponding to each industrial product name is obtained by multiplying the maximum rated annual production volume of the industrial product represented by each industrial product name by the carbon footprint data corresponding to the unit weight of the industrial product, and each industrial product corresponds to a maximum rated annual production volume. In practice, the maximum rated carbon footprint data corresponding to each industrial product name is subtracted from the carbon footprint data corresponding to each industrial product name to obtain the carbon footprint data corresponding to each industrial product.

[0101] Step five, according to the level of the target factory name, determine the adjustment coefficient corresponding to the target factory name; according to the adjustment coefficient corresponding to the target factory name and the carbon footprint balance corresponding to each industrial product name, generate production plans for multiple industrial products corresponding to the target factory name, wherein each industrial product corresponds to a production plan.

[0102] In some embodiments, the adjustment coefficient corresponding to the level of the target factory name is used as the adjustment coefficient corresponding to the target factory name, the adjustment coefficient corresponding to the target factory name is multiplied by the carbon footprint balance corresponding to each industrial product name, and the carbon footprint balance corresponding to each industrial product name is added to obtain the updated carbon footprint balance corresponding to each industrial product name, the maximum rated carbon footprint data corresponding to each industrial product name is subtracted from the updated carbon footprint balance corresponding to each industrial product name, and the updated carbon footprint data corresponding to each industrial product is obtained, and the updated carbon footprint data corresponding to each industrial product is divided by the carbon footprint data of each industrial product per unit weight to obtain the updated production weight of each industrial product, and the updated production weight of each industrial product is used as the production plan of each industrial product to generate the production plans of multiple industrial products corresponding to the target factory name. Each industrial product corresponds to a production plan.

[0103] In these embodiments, accurate production reduction of the factory is achieved. Specifically, accurate production reduction of the factory is achieved by generating production plans for multiple industrial products corresponding to the target factory name. In practice, if the air quality is poor, factory personnel will issue production reduction instructions based on historical experience, generally for major industrial products, but the air quality after the production reduction may not meet the expected standards. Therefore, the adjustment coefficient corresponding to the target factory name is obtained through the air quality index adjustment coefficient, and the production plans for multiple industrial products corresponding to the target factory name are generated according to the adjustment coefficient corresponding to the target factory name and the carbon footprint balance corresponding to each industrial product name, thereby achieving accurate production reduction of the factory and improving the air quality.

[0104] The above descriptions are only some preferred embodiments of the present invention and the explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the present invention is not limited to the technical solutions formed by the specific combination of the above technical features, but also should cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above inventive concept. For example, the above features are replaced with the technical features with similar functions disclosed in the present invention (but not limited to) to form a technical solution.

Claims

1. A carbon emission control method based on carbon footprint data, characterized in that: include: Establishing an industrial product information database of the target industrial park, wherein the industrial product information includes: multiple factory names, multiple industrial product names corresponding to each factory name, and annual production volume corresponding to each industrial product name; For a target factory name among the multiple factory names, query the industrial product information database to obtain multiple industrial product names corresponding to the target factory name and the annual production volume corresponding to each industrial product name; any one of the multiple industrial product names corresponding to the target factory name is used as the target industrial product name; For the target industrial product name, query the preset industrial product carbon footprint information table to obtain the corresponding multiple greenhouse gas types emitted and the emission weight information corresponding to each greenhouse gas type; For each greenhouse gas type, query the global warming potential value list to obtain its corresponding global warming potential value; according to the corresponding emission weight information and global warming potential value, obtain the carbon footprint data of each greenhouse gas type; According to the annual production volume corresponding to the target industrial product name and the carbon footprint data of each greenhouse gas type, the first carbon footprint data of the target industrial product represented by the target industrial product name is obtained; The emission tracing step is performed with the target industrial product name as the current tracing object. The tracing substance name is the name of each substance used in the production process of the industrial product. The tracing process diagram including multiple tracing substance names corresponding to the industrial product and multiple tracing substance weights corresponding to the industrial product per unit weight is queried to obtain the tracing substance name corresponding to the current tracing object; and the tracing substance name is queried in the industrial product carbon footprint information table to obtain multiple greenhouse gas types emitted corresponding to the tracing substance name and their corresponding emission weight information, determine the first carbon footprint data corresponding to the tracing substance name, add the first carbon footprint data of the current tracing object and the first carbon footprint data corresponding to the tracing substance name, and obtain the first carbon footprint data P of the Nth tracing. N ; If N>1, and P N If the error rate M between the first carbon footprint data of the N-1th traceback is less than the preset error rate N, the traceback is stopped and P N The first carbon footprint data of the target industrial product represented by the name of the target industrial product; if N=1, or M>N, the name of the traceable substance is used as the current traceability object, and the value of N is increased by 1, and the emission tracing step is continued; According to the first carbon footprint data of multiple industrial products, the industrial product carbon footprint data of the target factory represented by the target factory name is obtained; according to the industrial product carbon footprint data of the multiple factories, the multiple factories are graded, and different emission control plans are implemented for factories of different grades.

2. The carbon emission control method based on carbon footprint data according to claim 1 is characterized in that: The industrial product information in the industrial product information database includes a traceability threshold corresponding to each industrial product name; and If the value of N is equal to 1, or the error rate between the first carbon footprint data traced back for the Nth time and the first carbon footprint data traced back for the N-1th time is greater than the preset error rate, the name of the traceable substance is used as the name of the target industrial product, the value of N is increased by 1, and the emission tracing step is continued, including: If the value of N is equal to 1, or the error rate between the first carbon footprint data of the Nth tracing and the first carbon footprint data of the N-1th tracing is greater than the preset error rate, it is determined whether the value of the tracing times N is greater than or equal to the tracing times threshold; If the value of the tracing times N is less than the tracing times threshold, the value of N is increased by 1, and the emission tracing step is continued; If the value of the traceability number N is greater than or equal to the traceability number threshold, the traceability is stopped, where the traceability number threshold corresponding to each industrial product name is determined according to the following steps: For each industrial product name, a historical traceability record set corresponding to the industrial product name is obtained, each historical traceability record in the historical traceability record set includes the number of tracebacks when the traceback is stopped and the traceback stop reason category; the historical traceability record set is grouped according to the traceback stop reason category to obtain multiple historical traceability record groups, each historical traceability record group corresponds to a traceback stop reason category, and the traceback stop reason category is one of the following: the error rate between the first carbon footprint data of the Nth traceback and the first carbon footprint data of the N-1th traceback is less than or equal to the preset error rate, a traceback stop instruction is received, and a traceback exception occurs; a corresponding weight is assigned to each traceback stop reason category, and the average traceback number corresponding to each industrial product name is calculated according to the corresponding weight, and the average traceback number is determined as the traceback number threshold.

3. The carbon emission control method based on carbon footprint data according to claim 2 is characterized in that: Different emission control plans are implemented for different levels of factories, including: According to the annual production volume corresponding to each industrial product name of each factory, the main industrial product of each factory is determined; the main industrial products of each factory are compared to determine whether the main industrial products of each factory are the same, and the factories with the same main industrial products are determined as similar factory groups to obtain multiple similar factory groups; For each similar factory group, if the grades of the factories in each similar factory group are different, the factory with the lowest grade in each similar factory group is taken as the target factory, and the carbon footprint data corresponding to the main industrial products produced per unit weight of the target factory is taken as the standard carbon footprint data; Determine the carbon footprint adjustment factor of each factory in each similar factory group according to the carbon footprint data corresponding to the main industrial products produced per unit weight of each factory in each similar factory group and the standard carbon footprint data; According to the carbon footprint adjustment factor, query and implement the corresponding emission control plan.

4. The carbon emission control method based on carbon footprint data according to claim 3 is characterized in that: The preset error rate is generated by the following steps: According to the target industrial product name, query the preset industrial product carbon footprint information table to obtain multiple factory names corresponding to the target industrial product name, the error rate configured for the target industrial product name by the factory represented by each factory name, the configuration time and update cycle corresponding to each error rate, and the error rates corresponding to the multiple factory names respectively constitute an error rate group corresponding to the target industrial product name; According to the configuration time and update cycle corresponding to each error rate, the error rate group is screened to obtain a screened error rate group; according to the screened error rate group, a preset error rate corresponding to the target industrial product name is obtained.

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