CN115796594A - Intelligent management system and method for carbon emission - Google Patents
Intelligent management system and method for carbon emission Download PDFInfo
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- CN115796594A CN115796594A CN202211587684.0A CN202211587684A CN115796594A CN 115796594 A CN115796594 A CN 115796594A CN 202211587684 A CN202211587684 A CN 202211587684A CN 115796594 A CN115796594 A CN 115796594A
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Abstract
The invention discloses an intelligent management system and method for carbon emission, belonging to the field of carbon emission management, wherein the intelligent management system for carbon emission comprises a prediction module, a comparison module, a transaction module, a carbon emission index analysis module, a risk evaluation module and a grading early warning module; the prediction module is used for predicting the carbon emission of the managed enterprise in the current year according to the previous carbon emission; the comparison module is used for comparing the predicted carbon emission with the carbon emission index to generate a judgment result; the carbon emission index analysis module is used for analyzing the carbon emission indexes of the managed enterprises according to the judgment result; the trading module is used for trading the carbon emission index according to the judgment result. The method and the system can accurately estimate the trend of the carbon emission condition of the enterprise, and can carry out risk assessment according to the risk control area, so that the residual carbon emission indexes can be traded to the enterprise in need in time.
Description
Technical Field
The invention relates to the field of carbon emission management, in particular to an intelligent carbon emission management system and method.
Background
Carbon emission is a general term for greenhouse gas emission, and refers to greenhouse gas emission generated by fossil energy combustion activities such as coal, natural gas, petroleum and the like, industrial production processes, land utilization changes, forestry activities, and greenhouse gas emission caused by using outsourced electricity, heat and the like. In order to promote global greenhouse gas emission reduction, carbon emission rights are used as commodities to form carbon dioxide emission rights trading, which is referred to as carbon trading for short. The carbon emission indexes are given to various enterprises, and the greenhouse gas emission is limited, so that higher requirements are provided for the energy conservation and emission reduction work of industrial enterprises.
However, most enterprises still have a tendency that the carbon emission condition of the enterprises can not be accurately estimated, and risk assessment can not be performed according to risk control areas, so that carbon emission indexes are remained and cannot be traded to enterprises in need. Accordingly, those skilled in the art have provided an intelligent management system and method for carbon emissions to solve the problems set forth in the background above.
Disclosure of Invention
The invention aims to provide an intelligent management system and method for carbon emission, which can accurately estimate the trend of the carbon emission condition of an enterprise, can perform risk assessment according to a risk control area, and can timely trade the residual carbon emission indexes to the enterprise with needs so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
an intelligent management system for carbon emission comprises a prediction module, a comparison module, a transaction module, a carbon emission index analysis module, a risk assessment module and a grading early warning module;
the prediction module is used for predicting the carbon emission of the managed enterprise in the current year according to the previous carbon emission; the comparison module is used for comparing the predicted carbon emission with the carbon emission index to generate a judgment result; the carbon emission index analysis module is used for analyzing the carbon emission indexes of the managed enterprises according to the judgment result; the trading module is used for trading the carbon emission index according to the judgment result; the risk evaluation module is used for carrying out risk evaluation according to the carbon emission indexes after the transaction to generate an evaluation result; the grading early warning module is used for sending grading early warning according to the evaluation result;
the specific prediction process of the carbon emission is as follows:
s101: collecting and counting the carbon emission of related enterprises in the same province and the same field in the past six months, and marking the carbon emission as A1, A2, A3, A4, A5 and A6;
s102: collecting and counting the carbon emission of related enterprises in the same field and different provinces in the past six months, and marking the carbon emission as B1, B2, B3, B4, B5 and B6;
s103: collecting and counting the carbon emission of the managed enterprises in the past six months, and marking the carbon emission as C1, C2, C3, C4, C5 and C6;
s104: calculating the carbon emission trend of enterprises related to the same province and the same field, specifically, calculating
,
,
,
,
,
If it is at all
If the number is positive, judging that the carbon emission trend of enterprises related to the same province and the same field is in an ascending state, if so, judging that the carbon emission trend is in an ascending state
If the number is negative, judging that the carbon emission trend of related enterprises in the same province and the same field is in a descending state;
s105: calculating the carbon emission trend of related enterprises in the same field of different provinces, specifically, enabling
,
,
,
,
,
If it is at all
If the number is positive, judging that the carbon emission trend of related enterprises in the same field of different provinces is in an ascending state, if so, judging that the carbon emission trend is in an ascending state
If the number is negative, judging that the carbon emission trend of related enterprises in the same field of different provinces is in a descending state;
s106: calculating a carbon emission trend of the managed enterprise, specifically, order
,
,
,
,
,
If it is at all
If the number is positive, the carbon emission trend of the managed enterprise is judged to be in an ascending state, and if the number is positive, the carbon emission trend of the managed enterprise is judged to be in an ascending state
If the number is negative, judging that the carbon emission trend of the managed enterprise is in a descending state;
s107: if the upstream enterprise and the downstream enterprise of the managed enterprise belong to the outsource enterprise, predicting the carbon emission trend of the managed enterprise to be
If the upstream enterprise and the downstream enterprise of the managed enterprise belong to intra-provincial enterprises, predicting the carbon emission trend of the managed enterprise to be
If any one of the upstream enterprise and the downstream enterprise of the managed enterprise belongs to the foreign province enterprise, predicting the carbon emission trend of the managed enterprise to be
；
S108: according to predicted carbon emission trend
Predicting the carbon emission of the managed enterprise in the current year by combining the previous carbon emission of the managed enterprise;
the specific process of analyzing the carbon emission indexes of the managed enterprises by the carbon emission index analysis module is as follows:
s301: comparing and analyzing the judgment result with the past three-year carbon emission index trading volume;
s302: if the judgment result is lack of carbon emission indexes in the past three years and the carbon emission indexes required by the managed enterprises are increased year by year, marking the carbon emission of the managed enterprises to be over standard, and issuing suggestions of energy conservation and emission reduction to the responsible persons of the managed enterprises;
s303: if the judgment result is rich in carbon emission indexes of the past three years and the carbon emission indexes required by the managed enterprises are gradually reduced year by year, marking the carbon emission of the managed enterprises to reach the standard, and giving a suggestion of selling the carbon emission indexes to the responsible person of the managed enterprises to improve profits;
s304: and if the judgment result is rich and deficient in the carbon emission indexes of the past three years, marking the instability of the carbon emission of the managed enterprise, and issuing a recommendation of trading the carbon emission indexes to a responsible person of the managed enterprise.
As a further scheme of the invention: the related enterprises in the same field refer to enterprises with the similarity of the produced products reaching 80%, wherein the similarity is judged from the aspects of materials, purposes and appearances.
As a still further scheme of the invention: and if the predicted carbon emission amount is higher than the carbon emission index of the managed enterprise in the current year, the carbon emission index of the managed enterprise is short and needs to be purchased.
As a still further scheme of the invention: in the process of trading the carbon emission indexes, if the carbon emission indexes are sold, the trading module preferentially sells the related enterprises in the province and the same field with the rising carbon emission trend, and if the carbon emission indexes are acquired, the trading module preferentially acquires the related enterprises outside the province and the same field.
As a still further scheme of the invention: the specific generation process of the evaluation result of the risk evaluation module is as follows:
s501: if the upstream enterprise and the downstream enterprise of the managed enterprise are both in the high risk area, sending out an evaluation result of the six-level risk;
s502: if any one of the upstream enterprise and the downstream enterprise of the managed enterprise is in a high risk area, sending out an evaluation result of the fifth-level risk;
s503: if the upstream enterprise and the downstream enterprise of the managed enterprise are both in the intermediate risk area, sending out an evaluation result of the four-level risk;
s504: if any one of the upstream enterprise and the downstream enterprise of the managed enterprise is in the intermediate risk area, sending out an evaluation result of the third-level risk;
s505: if the upstream enterprise and the downstream enterprise of the managed enterprise are both in the low risk area, sending out an evaluation result of the secondary risk;
s506: and if any one of the upstream enterprise and the downstream enterprise of the managed enterprise is in a low risk area, sending out a primary risk evaluation result.
As a still further scheme of the invention: the grading early warning module is used for sending grading early warning and specifically comprises the following steps:
if the evaluation result is a six-level risk, sending a six-level early warning to the managed enterprise, and suggesting the managed enterprise to sell A% of carbon emission indexes;
if the evaluation result is a five-level risk, a five-level early warning is sent to the managed enterprise, and the managed enterprise is recommended to sell B% of carbon emission indexes;
if the evaluation result is a four-level risk, a four-level early warning is sent to the managed enterprise, and the managed enterprise is recommended to sell C% carbon emission indexes;
if the evaluation result is the third-level risk, sending a third-level early warning to the managed enterprise, and recommending the managed enterprise to sell the carbon emission index of D%;
if the evaluation result is a secondary risk, sending a secondary early warning to the managed enterprise, and recommending the managed enterprise to sell the E% carbon emission index;
if the evaluation result is primary risk, primary early warning is sent to the managed enterprise, and the managed enterprise is recommended to sell F% of carbon emission indexes.
The application also discloses an intelligent management method for carbon emission, which comprises the following steps:
predicting the carbon emission of the managed enterprise in the current year according to the previous carbon emission;
comparing the predicted carbon emission with the carbon emission index to generate a judgment result;
analyzing the carbon emission index of the managed enterprise according to the judgment result;
trading the carbon emission index according to the judgment result;
performing risk assessment according to the carbon emission indexes after transaction to generate an assessment result;
and sending out grading early warning according to the evaluation result.
Compared with the prior art, the invention has the beneficial effects that:
the invention can accurately estimate the trend of the carbon emission condition of the enterprise by collecting the data related to the upstream enterprise and the downstream enterprise of the managed enterprise from the source and the destination to carry out multi-angle analysis, and then obtains the accurate carbon emission of the managed enterprise in the current year according to the trend, thereby selecting and purchasing or selling proper share of the carbon emission indexes, carrying out risk evaluation according to a risk control area, effectively helping the responsible person of the enterprise to know whether excessive risks exist in the carbon emission indexes under the current condition, and trading the residual carbon emission indexes to the required enterprise in time, so that the trading activity of the carbon trading market is higher, the required enterprise can conveniently purchase enough carbon emission indexes in time to complete production, and the prosperity of the whole economy is promoted.
Drawings
FIG. 1 is a block diagram of an intelligent carbon emission management system;
fig. 2 is a flow chart of a method for intelligent management of carbon emissions.
Detailed Description
In order to better understand the technical solution, the technical solution will be described in detail with reference to the drawings and the specific embodiments.
Referring to fig. 1-2, in an embodiment of the present invention, an intelligent management system for carbon emission includes a prediction module, a comparison module, a transaction module, a carbon emission index analysis module, a risk assessment module, and a grading pre-warning module;
the prediction module is used for predicting the carbon emission of the managed enterprise in the current year according to the previous carbon emission; the comparison module is used for comparing the predicted carbon emission with the carbon emission index to generate a judgment result; the carbon emission index analysis module is used for analyzing the carbon emission indexes of the managed enterprises according to the judgment result; the trading module is used for trading the carbon emission index according to the judgment result; the risk evaluation module is used for carrying out risk evaluation according to the carbon emission indexes after the transaction to generate an evaluation result; the grading early warning module is used for sending grading early warning according to the evaluation result;
the specific prediction process of the carbon emission is as follows:
s101: collecting and counting the carbon emission of related enterprises in the same province and the same field in the past six months, and marking the carbon emission as A1, A2, A3, A4, A5 and A6;
s102: collecting and counting the carbon emission of related enterprises in the same field and different provinces in the past six months, and marking the carbon emission as B1, B2, B3, B4, B5 and B6;
s103: collecting and counting the carbon emission of the managed enterprises in the past six months, and marking the carbon emission as C1, C2, C3, C4, C5 and C6;
s104: calculating the carbon emission trend of related enterprises in the same province and the same field, specifically, order
,
,
,
,
,
If it is
If the number is positive, judging that the carbon emission trend of enterprises related to the same province and the same field is in an ascending state, if so, judging that the carbon emission trend is in an ascending state
If the number is negative, judging that the carbon emission trend of enterprises related to the same province and the same field is in a descending state;
s105: calculating the carbon emission trend of related enterprises in the same field of different provinces, specifically, order
,
,
,
,
,
If it is
If the number is positive, judging that the carbon emission trend of related enterprises in the same field of different provinces is in an ascending state, if so, judging that the carbon emission trend is in an ascending state
If the number is negative, judging that the carbon emission trend of related enterprises in the same field of different provinces is in a descending state;
s106: calculating a carbon emission trend of the managed enterprise, specifically, order
,
,
,
,
,
If it is
If the number is positive, the carbon emission trend of the managed enterprise is judged to be in an ascending state, and if the number is positive, the carbon emission trend of the managed enterprise is judged to be in an ascending state
If the number is negative, judging that the carbon emission trend of the managed enterprise is in a descending state;
s107: if the upstream enterprise and the downstream enterprise of the managed enterprise both belong to the foreign provincial enterprise, predicting the carbon emission trend of the managed enterprise, and if the upstream enterprise and the downstream enterprise of the managed enterprise both belong to the intra-provincial enterprise, predicting the carbon emission trend of the managed enterprise to be
If any one of the upstream enterprise and the downstream enterprise of the managed enterprise belongs to the foreign province enterprise, predicting the carbon emission trend of the managed enterprise to be
；
S108: according to predicted carbon emission trend
Predicting the carbon emission of the managed enterprise in the current year by combining the previous carbon emission of the managed enterprise;
the specific process of analyzing the carbon emission index of the managed enterprise by the carbon emission index analysis module is as follows:
s301: comparing and analyzing the judgment result with the carbon emission index trading volume of the past three years;
s302: if the judgment result is lack of carbon emission indexes in the past three years and the carbon emission indexes required by the managed enterprises are increased year by year, marking the carbon emission of the managed enterprises to be over standard, and issuing suggestions of energy conservation and emission reduction to the responsible persons of the managed enterprises;
s303: if the judgment result is rich in carbon emission indexes of the past three years and the carbon emission indexes required by the managed enterprises are gradually reduced year by year, marking the carbon emission of the managed enterprises to reach the standard, and giving a suggestion of selling the carbon emission indexes to the responsible person of the managed enterprises to improve profits;
s304: if the judgment result is rich and deficient in the carbon emission indexes of the past three years, the instability of the carbon emission of the managed enterprise is marked, and a suggestion of trading the carbon emission indexes is issued to a responsible person of the managed enterprise.
The method and the system can accurately estimate the trend of the carbon emission condition of the enterprise, and can perform risk assessment according to the risk management and control area, so that the residual carbon emission indexes can be traded to the enterprise with the need in time. Wherein, this application is through collecting the upper reaches enterprise and the relevant data of low reaches enterprise of managed enterprise, from the source with to carry out the analysis of multi-angle to the trend of accurate estimation enterprise self carbon emission condition obtains the accurate carbon emission of managed enterprise this year according to this trend again, and in addition, carbon emission index analysis module can carry out the analysis to the carbon emission index of managed enterprise in recent years, and send corresponding suggestion to the person in charge of managed enterprise.
In this embodiment: the related enterprises in the same field refer to enterprises with the similarity of the produced products reaching 80%, wherein the similarity is judged from the aspects of materials, purposes and appearances. It should be noted that the product similarity is an average value of the similarity of the material, the usage similarity and the appearance similarity.
In this embodiment: and in the comparison, if the predicted carbon emission is lower than the carbon emission index of the managed enterprise in the current year, the comparison module determines that the carbon emission index of the managed enterprise is rich and can be sold, and if the predicted carbon emission is higher than the carbon emission index of the managed enterprise in the current year, the comparison module determines that the carbon emission index of the managed enterprise is short and needs to be purchased. The method has the advantages that redundant carbon emission indexes are sold to enterprises with needs for managed enterprises through trading carbon emission indexes, or the carbon emission indexes are purchased for the managed enterprises for self use, so that the development of the whole industry is facilitated both in selling and purchasing, the trading activity of a carbon trading market is higher, and the enterprises with needs can purchase enough carbon emission indexes in time to complete production.
In this embodiment: in the process of trading the carbon emission indexes, if the carbon emission indexes are sold, the trading module preferentially sells the related enterprises in the province and the same field with the rising carbon emission trend, and if the carbon emission indexes are acquired, the trading module preferentially acquires the related enterprises outside the province and the same field.
In this embodiment: the specific generation process of the evaluation result of the risk evaluation module is as follows:
s501: if the upstream enterprise and the downstream enterprise of the managed enterprise are both in the high risk area, sending out an evaluation result of the six-level risk;
s502: if any one of the upstream enterprise and the downstream enterprise of the managed enterprise is in a high risk area, sending out an evaluation result of the fifth-level risk;
s503: if the upstream enterprise and the downstream enterprise of the managed enterprise are both in the intermediate risk area, sending out an evaluation result of the four-level risk;
s504: if any one of the upstream enterprise and the downstream enterprise of the managed enterprise is in the intermediate risk area, sending out an evaluation result of the third-level risk;
s505: if the upstream enterprise and the downstream enterprise of the managed enterprise are both in the low risk area, sending out an evaluation result of the secondary risk;
s506: and if any one of the upstream enterprise and the downstream enterprise of the managed enterprise is in a low risk area, sending out a primary risk evaluation result.
In the process of carrying out risk assessment on the carbon emission indexes after transaction, carrying out risk assessment according to a risk control area, wherein when the risk is higher, the influence on the production and operation of the managed enterprise is higher, the possibility that the carbon emission indexes are incomplete is higher, and part of the carbon emission indexes can be sold, so that the rest carbon emission indexes of the managed enterprise can be timely traded to the enterprise with the need.
In this embodiment: the grading early warning module sends grading early warning specifically as follows:
if the evaluation result is a six-level risk, sending a six-level early warning to the managed enterprise, and suggesting the managed enterprise to sell A% of carbon emission indexes;
if the evaluation result is a five-level risk, a five-level early warning is sent to the managed enterprise, and the managed enterprise is recommended to sell B% of carbon emission indexes;
if the evaluation result is a four-level risk, a four-level early warning is sent to the managed enterprise, and the managed enterprise is recommended to sell C% carbon emission indexes;
if the evaluation result is the third-level risk, sending a third-level early warning to the managed enterprise, and recommending the managed enterprise to sell the carbon emission index of D%;
if the evaluation result is a secondary risk, sending a secondary early warning to the managed enterprise, and recommending the managed enterprise to sell the E% carbon emission index;
and if the evaluation result is a first-level risk, sending a first-level early warning to the managed enterprise, and recommending the managed enterprise to sell the F% carbon emission index.
By sending out grading early warning to the evaluation result, the method can effectively help the responsible person of the enterprise to know whether excessive risks exist in the carbon emission index residue under the current condition, and therefore the carbon emission index can be adaptively sold. Wherein, A is 18, B is 15, C is 12, D is 9, E is 6, F is 3, it should be noted that the values of A, B, C, D, E, F can be adjusted according to the need, and are not limited to the above specific values.
The application also discloses an intelligent management method for carbon emission, which comprises the following steps:
predicting the carbon emission of the managed enterprise in the current year according to the previous carbon emission;
comparing the predicted carbon emission with the carbon emission index to generate a judgment result;
analyzing the carbon emission index of the managed enterprise according to the judgment result;
trading the carbon emission index according to the judgment result;
performing risk assessment according to the carbon emission indexes after transaction to generate an assessment result;
and sending out grading early warning according to the evaluation result.
The invention collects the data related to the upstream enterprise and the downstream enterprise of the managed enterprise, analyzes from the source and the destination in multiple angles, can accurately estimate the trend of the carbon emission condition of the enterprise, obtains the accurate carbon emission of the managed enterprise in the current year according to the trend, selects the carbon emission indexes with proper shares to buy or sell, can perform risk assessment according to a risk control area, effectively helps the responsible person of the enterprise to know whether the carbon emission indexes are excessive under the current condition, and deals the residual carbon emission indexes to the required enterprise in time, so that the trading activity of the carbon trading market is higher, the required enterprise can conveniently purchase enough carbon emission indexes in time to complete production, and the prosperity of the whole economy is promoted.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention are equivalent to or changed within the technical scope of the present invention.
Claims (7)
1. An intelligent management system for carbon emission is characterized by comprising a prediction module, a comparison module, a transaction module, a carbon emission index analysis module, a risk evaluation module and a grading early warning module;
the prediction module is used for predicting the carbon emission of the managed enterprise in the current year according to the previous carbon emission; the comparison module is used for comparing the predicted carbon emission with the carbon emission index to generate a judgment result; the carbon emission index analysis module is used for analyzing the carbon emission indexes of the managed enterprises according to the judgment result; the trading module is used for trading the carbon emission index according to the judgment result; the risk evaluation module is used for carrying out risk evaluation according to the carbon emission indexes after the transaction to generate an evaluation result; the grading early warning module is used for sending grading early warning according to an evaluation result;
the specific prediction process of the carbon emission is as follows:
s101: collecting and counting the carbon emission of related enterprises in the same province and the same field in the past six months, and marking the carbon emission as A1, A2, A3, A4, A5 and A6;
s102: collecting and counting the carbon emission of related enterprises in the same field and different provinces in the past six months, and marking the carbon emission as B1, B2, B3, B4, B5 and B6;
s103: collecting and counting the carbon emission of the managed enterprises in the past six months, and marking the carbon emission as C1, C2, C3, C4, C5 and C6;
s104: calculating the carbon emission trend of enterprises related to the same province and the same field, specifically, calculating
, 
, 
, 
, 
, 
If it is
If the number is positive, judging that the carbon emission trend of enterprises related to the same province and the same field is in an ascending state, if so, judging that the carbon emission trend is in an ascending state
If the number is negative, judging that the carbon emission trend of related enterprises in the same province and the same field is in a descending state;
s105: calculating the carbon emission trend of related enterprises in the same field of different provinces, specifically, order
, 
, 
, 
, 
, 
If it is
If the number is positive, judging that the carbon emission trend of related enterprises in the same field of different provinces is in an ascending state, if so, judging that the carbon emission trend is in an ascending state
If the number is negative, judging that the carbon emission trend of related enterprises in the same field of different provinces is in a descending state;
s106: calculating a carbon emission trend of the managed enterprise, specifically, order
, 
, 
, 
, 
, 
If it is at all
If the number is positive, the carbon emission trend of the managed enterprise is judged to be in an ascending state, and if the number is positive, the carbon emission trend of the managed enterprise is judged to be in an ascending state
If the number is negative, judging that the carbon emission trend of the managed enterprise is in a descending state;
s107: if the upstream enterprise and the downstream enterprise of the managed enterprise belong to the foreign provincial enterprises, predicting the carbon emission trend of the managed enterprise to be
If the upstream enterprise and the downstream enterprise of the managed enterprise belong to the intra-provincial enterprise, predicting the carbon emission trend of the managed enterprise to be
If any one of the upstream enterprise and the downstream enterprise of the managed enterprise belongs to the foreign province enterprise, predicting the carbon emission trend of the managed enterprise to be
；
S108: according to predicted carbon emission trend
Predicting the carbon emission of the managed enterprise in the current year by combining the previous carbon emission of the managed enterprise;
the specific process of analyzing the carbon emission index of the managed enterprise by the carbon emission index analysis module is as follows:
s301: comparing and analyzing the judgment result with the carbon emission index trading volume of the past three years;
s302: if the judgment result is lack of carbon emission indexes in the past three years and the carbon emission indexes required by the managed enterprises are increased year by year, marking the carbon emission amount of the managed enterprises to exceed the standard, and issuing suggestions for energy conservation and emission reduction to the responsible person of the managed enterprises;
s303: if the judgment result is rich in carbon emission indexes of the past three years and the carbon emission indexes required by the managed enterprises are gradually reduced year by year, marking the carbon emission of the managed enterprises to reach the standard, and giving a suggestion of selling the carbon emission indexes to the responsible person of the managed enterprises to improve profits;
s304: and if the judgment result is rich and deficient in the carbon emission indexes of the past three years, marking the instability of the carbon emission of the managed enterprise, and issuing a recommendation of trading the carbon emission indexes to a responsible person of the managed enterprise.
2. The intelligent management system for carbon emission according to claim 1, wherein the related enterprises in the same field refer to enterprises with a similarity of produced products of 80%, and the similarity is determined from aspects of material, use and appearance.
3. The system according to claim 1, wherein the comparison module determines that the carbon emission index of the managed enterprise is sufficient and can be sold if the predicted carbon emission amount is lower than the carbon emission index of the managed enterprise in the current year during comparison, and determines that the carbon emission index of the managed enterprise is short of the carbon emission index and needs to be purchased if the predicted carbon emission amount is higher than the carbon emission index of the managed enterprise in the current year.
4. The system according to claim 3, wherein in the process of trading the carbon emission index, if the carbon emission index is sold, the trading module preferentially sells the carbon emission index to related enterprises in the same province and the same region with an ascending carbon emission trend, and if the carbon emission index is acquired, the trading module preferentially acquires the carbon emission index to related enterprises in the same province and the same region.
5. The intelligent management system for carbon emissions according to claim 1, wherein the evaluation result of the risk evaluation module is generated by:
s501: if the upstream enterprise and the downstream enterprise of the managed enterprise are both in the high risk area, sending out an evaluation result of the six-level risk;
s502: if any one of the upstream enterprise and the downstream enterprise of the managed enterprise is in a high risk area, sending out an evaluation result of the fifth-level risk;
s503: if the upstream enterprise and the downstream enterprise of the managed enterprise are both in the intermediate risk area, sending out an evaluation result of the four-level risk;
s504: if any one of the upstream enterprise and the downstream enterprise of the managed enterprise is in the intermediate risk area, sending out an evaluation result of the third-level risk;
s505: if the upstream enterprise and the downstream enterprise of the managed enterprise are both in the low risk area, sending out an evaluation result of the secondary risk;
s506: and if any one of the upstream enterprise and the downstream enterprise of the managed enterprise is in a low risk area, sending out a primary risk evaluation result.
6. The intelligent management system for carbon emission according to claim 5, wherein the grading early warning module issues grading early warnings as follows:
if the evaluation result is a six-level risk, sending a six-level early warning to the managed enterprise, and suggesting the managed enterprise to sell A% of carbon emission indexes;
if the evaluation result is a five-level risk, sending a five-level early warning to the managed enterprise, and recommending the managed enterprise to sell B% of carbon emission indexes;
if the evaluation result is the four-level risk, a four-level early warning is sent to the managed enterprise, and the managed enterprise is recommended to sell C% of carbon emission indexes;
if the evaluation result is the third-level risk, sending a third-level early warning to the managed enterprise, and recommending the managed enterprise to sell the carbon emission index of D%;
if the evaluation result is a secondary risk, sending a secondary early warning to the managed enterprise, and recommending the managed enterprise to sell the E% carbon emission index;
if the evaluation result is primary risk, primary early warning is sent to the managed enterprise, and the managed enterprise is recommended to sell F% of carbon emission indexes.
7. An intelligent management method for carbon emission is characterized by comprising the following steps:
predicting the carbon emission of the managed enterprise in the current year according to the previous carbon emission;
comparing the predicted carbon emission with the carbon emission index to generate a judgment result;
analyzing the carbon emission index of the managed enterprise according to the judgment result;
trading the carbon emission index according to the judgment result;
performing risk assessment according to the carbon emission indexes after the transaction to generate an assessment result;
and sending out grading early warning according to the evaluation result.
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