Method for constructing carbon management architecture based on carbon emission reduction data under carbon reduction measures

Abstract

The invention provides a method for constructing a carbon management architecture based on carbon emission reduction data under a carbon reduction measure, and relates to the technical field of green low-carbon information, and the method comprises the steps: calculating needed carbon assets or tradable carbon assets according to the data size of carbon emission reduction, and then calculating the carbon management architecture according to the carbon assets, a future scene and related objects; according to the method, the framework for managing the carbon assets is determined, effective management of the carbon assets is achieved, data in a typical carbon emission reduction scene is obtained, then the building and evaluation work of a carbon asset management model is performed from a specific application level, the relation with current enterprise carbon asset management is established, and the enterprise can directly apply the carbon asset management framework.

Description

Technical Field

[0001] The present invention relates to the field of green and low-carbon information technology, and in particular to a method and device for constructing a carbon management framework using carbon reduction data under carbon reduction measures. Background Art

[0002] Carbon reduction, that is, the process of reducing carbon dioxide (CO2) and other greenhouse gas emissions, is a key measure to address global climate change. Its core purpose is to alleviate the global temperature rise and a series of chain environmental problems caused by excessive greenhouse gas emissions, such as an increase in extreme climate events, melting glaciers, rising sea levels, and imbalanced ecosystems. The importance of carbon reduction is not only reflected in environmental protection, but is also closely related to the sustainable development of the global economy.

[0003] For individuals, we adopt a low-carbon lifestyle, choose clothes made of environmentally friendly materials, reduce food waste, etc.; for enterprises, we reduce energy consumption in the production process through technological innovation, increase the proportion of renewable energy such as solar energy, wind energy, and hydropower, etc. However, each link of the enterprise is cumbersome and complicated, especially the production and procurement links. The efficiency of fully obtaining the carbon reduction measures of the enterprise in each link is low. Therefore, it is very important to build a carbon management framework for the enterprise. Summary of the invention

[0004] In view of the above technical problems, the technical solution adopted by the present invention is: a method for constructing a carbon management framework based on carbon reduction data under carbon reduction measures, the method comprising the following steps:

[0005] S100, obtaining description information of the target object, and inputting the description information of the target object into the large language model, obtaining a carbon emission link list E of the target object = {E 1 , E 2 , …, E g , …, E z}, E g is the g-th carbon emission link of the target object, the value range of g is 1 to z, and z is the number of carbon emission links of the target object;

[0006] S200, based on E, obtain a preset single carbon reduction measure list A = {A 1 , A 2 , …, A i , …, A m}, A i is the i-th preset single carbon reduction measure of the target object, the value range of i is 1 to m, m is the number of preset single carbon reduction measures, and the preset single carbon reduction measure is a single operation measure for the target object to reduce carbon in the carbon emission link;

[0007] S300, for A 1To A m Combine and obtain a list of preset combined carbon reduction measures that can be implemented by the target object C = {C 1 , C 2 , …, C r , …, C s} and C corresponding to the preset combination of carbon reduction data list D = {D 1 , D 2 , …, D r , …, D s}, C r is the rth preset combination of carbon reduction measures, D r It is C r The corresponding preset combined carbon reduction data, r ranges from 1 to s, s is the number of preset combined carbon reduction measures;

[0008] S400, based on E, obtaining the actual carbon reduction data D of the target object within a preset time period 0 ;

[0009] S500, based on D 0 and D, obtain the target combination carbon reduction data list AD used by the target object = {AD 1 , A.D. 2 , …, A-D x , …, A-D q} and the target combination carbon reduction measures list corresponding to AD AC = {AC 1 , A.C. 2 ,…,AC x ,…,AC q}, xth target combined carbon reduction data AD x is a preset combined carbon reduction data in D, the value range of x is 1 to q, q is the number of target combined carbon reduction data and q<s;

[0010] Among them, AD x Corresponding target combination carbon reduction measures AC x ={AC x，1 , A.C. x，2 ,…,AC x，t ,…,AC x，kx}, the target combination carbon reduction measures AC x is a pre-set combination of carbon reduction measures in C, and AD x Corresponding preset combined carbon reduction data and AC x The corresponding preset combination of carbon reduction measures corresponds to AC x，t is the tth preset single carbon reduction measure in the xth target combination carbon reduction measure, t ranges from 1 to kx, kx is AC x The number of individual carbon reduction measures pre-set in the

[0011] S600, based on AC, use preset mutually exclusive measure rules to screen the target combined carbon reduction measures, obtain a final combined carbon reduction measure list, and generate a final carbon management framework based on the final combined carbon reduction measure list.

[0012] A device for constructing a carbon management framework using carbon reduction data under carbon reduction measures, the device comprising:

[0013] The carbon emission link list acquisition module is used to obtain the description information of the target object and input the description information of the target object into the large language model to obtain the carbon emission link list E = {E 1 , E 2 , …, E g , …, E z}, E g is the g-th carbon emission link of the target object, the value range of g is 1 to z, and z is the number of carbon emission links of the target object;

[0014] A preset single carbon reduction measure list acquisition module is used to obtain a preset single carbon reduction measure list A based on E = {A 1 , A 2 , …, A i , …, A m}, A i is the i-th preset single carbon reduction measure of the target object, the value range of i is 1 to m, m is the number of preset single carbon reduction measures, and the preset single carbon reduction measure is a single operation measure for the target object to reduce carbon in the carbon emission link;

[0015] The module for obtaining the list of preset combined carbon reduction measures is used to 1 To A m Combine and obtain a list of preset combined carbon reduction measures that can be implemented by the target object C = {C 1 , C 2 , …, C r , …, C s} and C corresponding to the preset combination of carbon reduction data list D = {D 1 , D 2 , …, D r , …, D s}, C r is the rth preset combination of carbon reduction measures, D r It is C r The corresponding preset combined carbon reduction data, r ranges from 1 to s, s is the number of preset combined carbon reduction measures;

[0016] The real carbon reduction data acquisition module is used to obtain the real carbon reduction data D of the target object within a preset time period based on E. 0 ;

[0017] Target combination carbon reduction data list acquisition module for D 0 and D, obtain the target combination carbon reduction data list AD used by the target object = {AD 1 , A.D. 2 , …, A-D x , …, A-D q} and the target combination carbon reduction measures list corresponding to AD AC = {AC 1 , A.C. 2 ,…,AC x ,…,AC q}, xth target combined carbon reduction data AD x It is a preset combination of carbon reduction data in D, AC x It is AD x The corresponding preset combined carbon reduction measures, x ranges from 1 to q, q is the number of target combined carbon reduction data and q<s; where AD x Corresponding target combination carbon reduction measures AC x ={AC x，1 , A.C. x，2 ,…,AC x，t ,…,AC x，kx}, and AD x Corresponding preset combined carbon reduction data and AC x The target combined carbon reduction measures AC x It is a preset combination of carbon reduction measures in C, AC x，t is the tth preset single carbon reduction measure in the xth target combination carbon reduction measure, t ranges from 1 to kx, kx is AC x The number of individual carbon reduction measures pre-set in the

[0018] The final carbon management framework acquisition module is used to screen the target combined carbon reduction measures based on AC using preset mutually exclusive measures rules, obtain the final combined carbon reduction measures list, and generate the final carbon management framework based on the final combined carbon reduction measures list.

[0019] The present invention has at least the following beneficial effects: In summary, the description information of the target object is obtained, and the description information of the target object is input into a large language model, a list of carbon emission links of the target object is obtained, based on the list of carbon emission links, a preset list of individual carbon reduction measures of the target object is obtained, the preset list of individual carbon reduction measures is combined, and a preset combined carbon reduction measures list and a preset combined carbon reduction data list that can be implemented by the target object are obtained, and the actual carbon reduction data of the target object within a preset time period is obtained, and based on the actual carbon reduction data and the preset combined carbon reduction data list, a target combined carbon reduction data list and a target combined carbon reduction measures list used by the target object are obtained, and based on the target combined carbon reduction measures list, the target combined carbon reduction measures are screened using preset mutually exclusive measures rules to obtain a final combined carbon reduction measures list, and a final carbon management framework is generated based on the final combined carbon reduction measures list. The present invention uses a large language model and the actual carbon reduction data of the target object to find out the final combined carbon reduction measures that the target object is already using, thereby efficiently obtaining the carbon reduction measures of the target object in each link, and quickly building a final carbon management framework for the target object. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0021] Figure 1 A flowchart of a method for constructing a carbon management framework using carbon reduction data under a carbon reduction measure provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0022] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0023] Embodiment 1

[0024] Embodiment 1 of the present invention provides a method for constructing a carbon management framework using carbon reduction data under carbon reduction measures, such as Figure 1 As shown, the method comprises the following steps:

[0025] S100, obtaining description information of the target object, and inputting the description information of the target object into the large language model, obtaining a carbon emission link list E of the target object = {E 1 , E2 , …, E g , …, E z}, E g is the g-th carbon emission link of the target object, the value range of g is 1 to z, and z is the number of carbon emission links of the target object.

[0026] Specifically, the types of the target object description information include: target object business information, target object background information, target object organizational structure information; wherein, the target object business information includes target object production task information, main products and services, etc. Further, the target object description information is obtained by including but not limited to Baidu Encyclopedia, target object profile information and target object annual task planning information.

[0027] In one embodiment of the present invention, the target object is a target enterprise, and the description information of the target object includes business information of the target enterprise, the establishment history of the target enterprise, the corporate culture of the target enterprise, and the responsibility specifications between various departments of the target enterprise.

[0028] Specifically, S100 also includes: inputting the description information and task execution instructions of the target object into the large language model to obtain the carbon emission link list E of the target object; wherein the task execution instructions are: obtaining the carbon emission link of the description information of the target object.

[0029] S200, based on E, obtain a preset single carbon reduction measure list A = {A 1 , A 2 , …, A i , …, A m}, A i It is the i-th preset single carbon reduction measure of the target object. The value range of i is 1 to m, and m is the number of preset single carbon reduction measures. The preset single carbon reduction measure is a single operation measure for the target object to reduce carbon in the carbon emission link.

[0030] S300, for A 1 To A m Combine and obtain a list of preset combined carbon reduction measures that can be implemented by the target object C = {C 1 , C 2 , …, C r , …, C s} and C corresponding to the preset combination of carbon reduction data list D = {D 1 , D 2 , …, D r , …, D s}, C r is the rth preset combination of carbon reduction measures, D r It is C rThe corresponding preset combined carbon reduction data, r ranges from 1 to s, s is the number of preset combined carbon reduction measures. 1 To A m The extraction combination is performed without considering the order of the preset individual carbon reduction measures in the preset combination of carbon reduction measures, and a preset combination of carbon reduction measures list is obtained.

[0031] Where s = ∑ m i＝1 [(m!) / [(i!)×[(mi)!]]], where ()! is a factorial operation. Specifically, m! is the factorial operation of m, i! is the factorial operation of i, and (mi)! is the factorial operation of mi.

[0032] S400, based on E, obtaining the actual carbon reduction data D of the target object within a preset time period 0 Specifically, the preset time period can be set according to actual conditions.

[0033] S500, based on D 0 and D, obtain the target combination carbon reduction data list AD used by the target object = {AD 1 , A.D. 2 , …, A-D x , …, A-D q} and the target combination carbon reduction measures list corresponding to AD AC = {AC 1 , A.C. 2 ,…,AC x ,…,AC q}, xth target combined carbon reduction data AD x is a preset combined carbon reduction data in D, the value range of x is 1 to q, q is the number of target combined carbon reduction data and q<s.

[0034] Among them, AD x Corresponding target combination carbon reduction measures AC x ={AC x，1 , A.C. x，2 ,…,AC x，t ,…,AC x，kx}, the target combination carbon reduction measures AC x It is a preset combination of carbon reduction measures in C, AC x，t is the tth preset single carbon reduction measure in the xth target combination carbon reduction measure, t ranges from 1 to kx, kx is AC x Specifically, the target combination of carbon reduction measures AC x It is a preset combination of carbon reduction measures in C. It can be understood that the target combination of carbon reduction measures is the carbon reduction measures that the target object may be using.

[0035] Among them, AD x For AC x The corresponding preset combined carbon reduction measures correspond to the preset combined carbon reduction data, i.e. AD x Corresponding preset combined carbon reduction data and AC x The corresponding preset combination of carbon reduction measures corresponds.

[0036] S600, based on AC, use preset mutually exclusive measure rules to screen the target combined carbon reduction measures, obtain a final combined carbon reduction measure list, and generate a final carbon management framework based on the final combined carbon reduction measure list.

[0037] Specifically, the target object is selected from the list of final combined carbon reduction measures, and a final carbon management structure is generated based on the selected final combined carbon reduction measures.

[0038] Specifically, the preset mutually exclusive measures rules can be determined according to actual conditions. For example, a single carbon reduction measure A is preset. 1 and preset individual carbon reduction measures A 2 cannot be executed simultaneously, then A 1 and A 2 To preset mutually exclusive measures rules.

[0039] Specifically, S600 further includes: using regular expressions to represent preset mutually exclusive measures rules. Specifically, those skilled in the art know that any method of using regular expressions to represent preset mutually exclusive measures rules in the prior art belongs to the protection scope of the present invention and will not be described in detail here.

[0040] In summary, the description information of the target object is obtained, and the description information of the target object is input into the large language model, the carbon emission link list of the target object is obtained, and based on the carbon emission link list, a preset single carbon reduction measure list of the target object is obtained, the preset single carbon reduction measure list is combined, and a preset combination carbon reduction measure list and a preset combination carbon reduction data list that can be implemented by the target object are obtained, and the real carbon reduction data of the target object within a preset time period are obtained. Based on the real carbon reduction data and the preset combination carbon reduction data list, a target combination carbon reduction data list and a target combination carbon reduction measure list used by the target object are obtained. Based on the target combination carbon reduction measure list, the target combination carbon reduction measures are screened using preset mutually exclusive measure rules to obtain a final combination carbon reduction measure list, and a final carbon management framework is generated based on the final combination carbon reduction measure list. The present invention uses a large language model and the real carbon reduction data of the target object to find out the final combination carbon reduction measures that the target object is already using, thereby efficiently obtaining the carbon reduction measures of the target object in each link, and quickly constructing the final carbon management framework of the target object.

[0041] The present invention obtains a list of target combination carbon reduction measures, that is, a combination of carbon reduction measures that the target object may be using, and then further screens through preset mutually exclusive rules to obtain the final combination of carbon reduction measures, and finds the carbon reduction combination with the highest probability of being used by the target object for selection by the target object, thereby generating a final carbon management framework and achieving the purpose of efficiently obtaining the carbon reduction measures of the target object at each link.

[0042] Specifically, S300 also includes:

[0043] S310, obtain the preset single carbon reduction data list B corresponding to A = {B 1 , B 2 , …, B i , …, B m}, B i Yes A i The corresponding preset single carbon reduction data. i Is to use A i The amount of carbon emissions that can be reduced.

[0044] S320, based on B and C, obtain D, where D r It is C r The sum of the preset individual carbon reduction data corresponding to the preset individual carbon reduction measures included.

[0045] Specifically, S400 also includes:

[0046] S410, based on the description information of the target object and E, obtain the predicted carbon emission data F of the target object within a preset time period 1 .

[0047] Specifically, based on the target object's business information, production task information, etc., the predicted carbon emission data F of the target object within a preset time period is obtained. 1 .

[0048] S420, obtaining the actual carbon emission data F of the target object within a preset time period 2 Those skilled in the art know that actual carbon emission data can be obtained by any method in the prior art.

[0049] S430, obtaining the actual carbon reduction data D of the target object within a preset time period 0 , where D 0 Meet the following conditions: D 0 =F 1 -F 2 .

[0050] Furthermore, S500 also includes:

[0051] S510, obtaining the target carbon reduction interval [a, b] of the target object, where a and b satisfy the following conditions: a = D 0 -D 0 ×e,b=D 0 +D 0 ×e, e is a preset carbon reduction fluctuation factor. Specifically, the preset carbon reduction fluctuation factor can be set according to actual needs.

[0052] S520, if D r ∈[a, b], D r Mark as target combined carbon reduction data to obtain the target combined carbon reduction data list.

[0053] In summary, the target carbon reduction range of the target object is obtained, so as to obtain a target combination carbon reduction data list, so as to avoid the inaccuracy of the target combination carbon reduction data caused by errors in the real carbon reduction data, that is, to improve the accuracy of the target combination carbon reduction data.

[0054] Embodiment 2

[0055] Embodiment 2 of the present invention provides a device for constructing a carbon management architecture using carbon reduction data under carbon reduction measures, the device comprising:

[0056] The carbon emission link list acquisition module is used to obtain the description information of the target object and input the description information of the target object into the large language model to obtain the carbon emission link list E = {E 1 , E 2 , …, E g , …, E z}, E g is the g-th carbon emission link of the target object, the value range of g is 1 to z, and z is the number of carbon emission links of the target object.

[0057] A preset single carbon reduction measure list acquisition module is used to obtain a preset single carbon reduction measure list A based on E = {A 1 , A 2 , …, A i , …, A m}, A i It is the i-th preset single carbon reduction measure of the target object. The value range of i is 1 to m, and m is the number of preset single carbon reduction measures. The preset single carbon reduction measure is a single operation measure for the target object to reduce carbon in the carbon emission link.

[0058] The module for obtaining the list of preset combined carbon reduction measures is used to 1 To A m Combine and obtain a list of preset combined carbon reduction measures that can be implemented by the target object C = {C 1 , C 2 , …, Cr , …, C s} and C corresponding to the preset combination of carbon reduction data list D = {D 1 , D 2 , …, D r , …, D s}, C r is the rth preset combination of carbon reduction measures, D r It is C r The corresponding preset combined carbon reduction data, r ranges from 1 to s, where s is the number of preset combined carbon reduction measures.

[0059] The real carbon reduction data acquisition module is used to obtain the real carbon reduction data D of the target object within a preset time period based on E. 0 .

[0060] Target combination carbon reduction data list acquisition module for D 0 and D, obtain the target combination carbon reduction data list AD used by the target object = {AD 1 , A.D. 2 , …, A-D x , …, A-D q} and the target combination carbon reduction measures list corresponding to AD AC = {AC 1 , A.C. 2 ,…,AC x ,…,AC q}, xth target combined carbon reduction data AD x It is a preset combination of carbon reduction data in D, AC x It is AD x The corresponding preset combined carbon reduction measures, x ranges from 1 to q, q is the number of target combined carbon reduction data and q<s; where AD x Corresponding target combination carbon reduction measures AC x ={AC x，1 , A.C. x，2 ,…,AC x，t ,…,AC x，kx}, the target combination carbon reduction measures AC x is a pre-set combination of carbon reduction measures in C, and AD x Corresponding preset combined carbon reduction data and AC x The corresponding preset combination of carbon reduction measures corresponds to AC x，t is the tth preset single carbon reduction measure in the xth target combination carbon reduction measure, t ranges from 1 to kx, kx is AC x The number of individual carbon reduction measures is preset in the

[0061] The final carbon management framework acquisition module is used to screen the target combined carbon reduction measures based on AC using preset mutually exclusive measures rules, obtain the final combined carbon reduction measures list, and generate the final carbon management framework based on the final combined carbon reduction measures list.

[0062] Although some specific embodiments of the present invention have been described in detail by way of example, it should be understood by those skilled in the art that the above examples are only for illustration, not for limiting the scope of the present invention. It should also be understood by those skilled in the art that various modifications may be made to the embodiments without departing from the scope and spirit of the present invention.

Claims

1. A method for constructing a carbon management framework using carbon reduction data under carbon reduction measures, characterized in that: The method comprises the following steps: S100, obtaining description information of the target object, and inputting the description information of the target object into the large language model, obtaining a carbon emission link list E = {E1, E2, ..., E g , …, E z }, E g is the g-th carbon emission link of the target object, the value range of g is 1 to z, and z is the number of carbon emission links of the target object; S200, based on E, obtain a preset single carbon reduction measure list A = {A1, A2, ..., A i , …, A m }, A i is the i-th preset single carbon reduction measure of the target object, the value range of i is 1 to m, m is the number of preset single carbon reduction measures, and the preset single carbon reduction measure is a single operation measure for the target object to reduce carbon in the carbon emission link; S300, for A1 to A m Combine and obtain a preset combined carbon reduction measures list C = {C1, C2, ..., C r , …, C s } and C corresponding to the preset combination of carbon reduction data list D = {D1, D2, ..., D r , …, D s }, C r is the rth preset combination of carbon reduction measures, D r It is C r The corresponding preset combined carbon reduction data, r ranges from 1 to s, s is the number of preset combined carbon reduction measures; S400, based on E, obtaining the actual carbon reduction data D0 of the target object within a preset time period; S500, based on D0 and D, obtain the target combined carbon reduction data list AD used by the target object = {AD1, AD2, ..., AD x , …, A-D q } and the target combination carbon reduction measures list AC corresponding to AD = {AC1, AC2, ..., AC x ,…,AC q }, xth target combined carbon reduction data AD x is a preset combined carbon reduction data in D, the value range of x is 1 to q, q is the number of target combined carbon reduction data and q<s; Among them, AD x Corresponding target combination carbon reduction measures AC x ={AC x，1 , A.C. x，2 ,…,AC x，t ,…,AC x，kx }, the target combination carbon reduction measures AC x is a pre-set combination of carbon reduction measures in C, and AD x Corresponding preset combined carbon reduction data and AC x The corresponding preset combination of carbon reduction measures corresponds to AC x，t is the tth preset single carbon reduction measure in the xth target combination carbon reduction measure, t ranges from 1 to kx, kx is AC x The number of individual carbon reduction measures pre-set in the S600, based on AC, use preset mutually exclusive measure rules to screen the target combined carbon reduction measures, obtain a final combined carbon reduction measure list, and generate a final carbon management framework based on the final combined carbon reduction measure list.

2. The method for constructing a carbon management framework based on carbon reduction data under carbon reduction measures according to claim 1, characterized in that: The S300 also includes: S310, obtaining a preset single carbon reduction data list B corresponding to A = {B1, B2, ..., B i , …, B m }, B i Yes A i The corresponding preset single carbon reduction data; S320, based on B and C, obtain D, where D r It is C r The sum of the preset individual carbon reduction data corresponding to the preset individual carbon reduction measures included.

3. The method for constructing a carbon management framework based on carbon reduction data under carbon reduction measures according to claim 1, characterized in that: The S400 also includes: S410, based on the description information of the target object and E, obtaining predicted carbon emission data F1 of the target object within a preset time period; S420, obtaining actual carbon emission data F2 of the target object within a preset time period; S430, obtaining the actual carbon reduction data D0 of the target object within a preset time period, wherein D0 satisfies the following condition: D0 = F1 - F2.

4. The method for constructing a carbon management framework using carbon reduction data under carbon reduction measures according to claim 1, characterized in that: s=∑ m i＝1 [(m)! / [(i)! ×(mi)! ]], where ()! is a factorial operation.

5. The method for constructing a carbon management framework based on carbon reduction data under carbon reduction measures according to claim 1, characterized in that: The S500 also includes: S510, obtaining a target carbon reduction interval [a, b] of the target object, where a and b satisfy the following conditions: a=D0-D0×e, b=D0+D0×e, and e is a preset carbon reduction fluctuation factor; S520, if D r ∈[a, b], D r Mark as target combined carbon reduction data to obtain the target combined carbon reduction data list.

6. The method for constructing a carbon management framework using carbon reduction data under carbon reduction measures according to claim 1, characterized in that: S600 further includes: using a regular expression to express a preset mutually exclusive measure rule.

7. The method for constructing a carbon management framework using carbon reduction data under carbon reduction measures according to claim 1, characterized in that: The types of the description information of the target object include: business information of the target object and background information of the target object.

8. The method for constructing a carbon management framework using carbon reduction data under carbon reduction measures according to claim 7, characterized in that: The type of description information of the target object also includes: organizational structure information of the target object.

9. The method for constructing a carbon management framework using carbon reduction data under carbon reduction measures according to claim 1, characterized in that: S100 also includes: inputting the description information and task execution instructions of the target object into the large language model to obtain the carbon emission link list E of the target object; wherein the task execution instructions are: obtaining the carbon emission link of the description information of the target object.

10. A device for constructing a carbon management framework using carbon reduction data under carbon reduction measures, characterized in that: The device comprises: The carbon emission link list acquisition module is used to obtain the description information of the target object and input the description information of the target object into the large language model to obtain the carbon emission link list E = {E1, E2, ..., E g , …, E z }, E g is the g-th carbon emission link of the target object, the value range of g is 1 to z, and z is the number of carbon emission links of the target object; A preset single carbon reduction measure list acquisition module is used to obtain a preset single carbon reduction measure list A based on E = {A1, A2, ..., A i , …, A m }, A i is the i-th preset single carbon reduction measure of the target object, the value range of i is 1 to m, m is the number of preset single carbon reduction measures, and the preset single carbon reduction measure is a single operation measure for the target object to reduce carbon in the carbon emission link; The module for obtaining the list of preset combined carbon reduction measures is used to obtain the list of preset combined carbon reduction measures from A1 to A m Combine and obtain a preset combined carbon reduction measures list C = {C1, C2, ..., C r , …, C s } and C corresponding to the preset combination of carbon reduction data list D = {D1, D2, ..., D r , …, D s }, C r is the rth preset combination of carbon reduction measures, D r It is C r The corresponding preset combined carbon reduction data, r ranges from 1 to s, s is the number of preset combined carbon reduction measures; A real carbon reduction data acquisition module is used to acquire the real carbon reduction data D0 of the target object within a preset time period based on E; The target combination carbon reduction data list acquisition module is used to acquire the target combination carbon reduction data list AD used by the target object based on D0 and D = {AD1, AD2, ..., AD x , …, A-D q } and the target combination carbon reduction measures list AC corresponding to AD = {AC1, AC2, ..., AC x ,…,AC q }, xth target combined carbon reduction data AD x It is a preset combination of carbon reduction data in D, AC x It is AD x The corresponding preset combined carbon reduction measures, x ranges from 1 to q, q is the number of target combined carbon reduction data and q<s; where AD x Corresponding target combination carbon reduction measures AC x ={AC x，1 , A.C. x，2 ,…,AC x，t ,…,AC x，kx }, and AD x Corresponding preset combined carbon reduction data and AC x The target combined carbon reduction measures AC x It is a preset combination of carbon reduction measures in C, AC x，t is the tth preset single carbon reduction measure in the xth target combination carbon reduction measure, t ranges from 1 to kx, kx is AC x The number of individual carbon reduction measures pre-set in the The final carbon management framework acquisition module is used to screen the target combined carbon reduction measures based on AC using preset mutually exclusive measures rules, obtain the final combined carbon reduction measures list, and generate the final carbon management framework based on the final combined carbon reduction measures list.

Images