CN111898873A - Group company carbon emission early warning information system and early warning method thereof - Google Patents
Group company carbon emission early warning information system and early warning method thereof Download PDFInfo
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Abstract
The invention discloses a carbon emission early warning information system of a group company and an early warning method thereof, wherein the system comprises a data acquisition module, a data analysis processing module, an evaluation standard module and a risk early warning module, wherein the data acquisition module is used for acquiring carbon emission and product yield data in a time interval i of each level of control and emission enterprises belonging to a group; and the data analysis processing module is used for analyzing and processing the acquired data, respectively carrying out statistical calculation on the carbon emission and carbon emission intensity indexes of the simulated emission control enterprises at all levels, and providing an early warning method of the early warning information system. The early warning information system and the early warning method can find, analyze and judge that the quota exceeds the standard in time at two levels of enterprises and groups, and issue early warning information, so that the groups and the companies can coordinate uniformly, all levels of companies are fully matched, control measures are adopted to regulate and control the quota in a targeted manner, internal allocation is prioritized, the forward movement of a management gateway is realized, and the carbon emission management efficiency is improved.
Description
Technical Field
The invention relates to a carbon emission early warning information system and an early warning method thereof, in particular to a carbon emission early warning information system of a group company and an early warning method thereof.
Background
Responding to climate change is a serious challenge facing mankind in this century. Actively coping with climate change and realizing total carbon emission control become common consensus in the international society at present.
The corporate enterprises relate to numerous industries and enterprises, are mostly large key emission enterprises, and how to efficiently manage carbon emission rights of the enterprises, discover the existing emission standard exceeding risk condition as soon as possible, perform corresponding early warning, and timely grasp the coping opportunity, thereby ensuring achievement of emission reduction targets of the enterprises, achievement of quotas, and avoiding cost loss and reputation risk.
The subordinate subsidiaries of the group company are large in quantity, diversified in operation and distributed in different provincial areas, the subsidiaries are respectively and dispersedly managed, a unified coordination management mode is not formed, the management mode is passive, actions are taken urgently until the end of the performance, the management efficiency is low, and the performance cost is high. The enterprises in the control and emission groups in the group are respectively managed in a distributed mode, the management mode is mainly post-passive management, a large amount of manpower and financial resources are invested, the carbon emission management has little effect, and the risk capability of dealing with the energy-saving and emission-reducing policies is insufficient.
Disclosure of Invention
The purpose of the invention is as follows: the first purpose of the present invention is to provide a carbon emission early warning information system for group companies, which can realize the forward movement of a management gateway and improve the carbon emission management efficiency, and the second purpose of the present invention is to provide an early warning method for the early warning information system.
The technical scheme is as follows: the carbon emission early warning system for the group company comprises a data acquisition module, a data analysis and processing module, an evaluation standard module and a risk early warning module, wherein the data acquisition module is used for acquiring carbon emission and product yield data in time interval i of each level of control and emission enterprises belonging to the group; the data analysis processing module is used for analyzing and processing the acquired data and respectively carrying out statistical calculation on the carbon emission amount and the carbon emission intensity index of each level of the simulated emission control enterprise; the evaluation standard module is used for setting a discharge limit reference value of the group and each level of control and emission enterprises belonging to the group; and the risk early warning module is used for regularly comparing the carbon emission amount and the carbon emission intensity which are calculated by accounting with preset emission limit reference values of the group and the level control enterprises belonging to the group, and carrying out early warning according to the comparison result.
The invention discloses a carbon emission early warning method for group companies, which comprises the following steps:
(1) acquiring carbon emission and product yield data in time interval i of each level of control and emission enterprises belonging to the group;
(2) analyzing and processing carbon emission and product yield data of the emission control enterprises, and respectively carrying out statistical calculation on carbon emission and carbon emission intensity indexes of all levels of emission control enterprises;
(3) and comparing the carbon emission amount and the carbon emission intensity which are calculated by the accounting with preset emission limit reference values of the group and each level of control and emission enterprises belonging to the group, and performing early warning according to the comparison result.
Further, the step (3) specifically comprises the following steps:
(a) according to the carbon emission intensity and the carbon emission amount, comparing with preset emission limit reference values of a group and each level of emission control enterprises belonging to the group, determining the emission risk early warning level of each level of emission control enterprises and the group;
(b) according to the carbon emission amount and the risk early warning level of a group and each control and emission enterprise, a risk early warning distribution map is formed by superposing and drawing on a group organization architecture map or a geographic position distribution map, the early warning levels are displayed in different colors on the risk early warning distribution map, early warning messages are generated at corresponding positions, the risk early warning distribution map and the early warning messages are sent to the client sides of the group or each control and emission enterprise, and emission overproof early warning is carried out;
(c) and forming a coping strategy according to the risk early warning grade and the early warning information.
Furthermore, the data acquisition module records activity level data and emission factors and carries out online calculation on emission through an internal accounting model, and enterprise carbon emission and yield data can also be called from the existing carbon emission reporting system or intercepted from a carbon emission report file, and the enterprise carbon emission reporting system and a database of the system are in the same intranet system, and data calling is carried out in a DBlink mode. The daily monitoring function of the emission condition of an enterprise is realized by reducing the data acquisition time interval, and the thermal power enterprise accesses the continuous flue gas emission monitoring system into the system so as to facilitate real-time tracking and fine data management of the emission condition.
The data analysis processing module comprises a product yield statistical unit and an emission index analysis statistical unit, wherein the product yield statistical unit is used for analyzing and calculating relevant indexes of product yield, including total industrial output values of enterprises and the like; an emission index analysis and statistics unit for analyzing and counting the emission amount and emission intensity (unit product or unit output value emission amount) of the enterprises in the group and each level, wherein the parameters comprise the historical emission amount and carbon emission intensity of each year or month of each emission control enterprise and the carbon emission intensity I in the t-th time intervalt,jCumulative carbon emission intensity at time interval t within natural yearAccumulated, t, jThe emission ratio of each emission category, the emission of each year or month in the history of the group company, and the emission E of carbon of the group in the t-th time intervalt, totalAnd the cumulative carbon emission E of the group at the time interval of t in the natural yearCumulative, t, totalThe emission of enterprises in various industries accounts for the ratio or the emission of enterprises accounts for the ratio.
The evaluation standard module comprises a direct reporting unit and a system generation unit, wherein the direct reporting unit determines the emission evaluation standard and the emission quota amount of each enterprise according to an industry distribution scheme and a carbon emission intensity constraint value, a reference value or an advanced value of each industry; and the system generation unit comprehensively determines the emission evaluation standard and the emission quota amount of each enterprise according to the historical annual carbon emission amount, the carbon emission intensity and the emission reduction target of the enterprise.
When the enterprises generate different emission evaluation standard values and emission quota amounts through the direct reporting unit and the system generating unit, stricter standard values or administrative mandatory standard values are selected by combining national and local administrative management requirements and low-carbon strategic planning of the enterprises. And the total quota of each controlled and ranked enterprise and group is obtained by multiplying and accumulating the evaluation standard value and the product yield value in the corresponding time period.
The risk early warning module sets early warning thresholds of different levels based on the emission standard, compares the carbon emission amount and carbon emission intensity which are calculated regularly with the early warning thresholds of each level, judges whether the carbon emission amount and the carbon emission intensity exceed the standards or not, identifies the early warning risk level and sends out early warning information. The risk early warning grades are divided as follows: for the emission control enterprises, controlling j emission control enterprises to emit carbon emission intensity I in the t time intervalt,jAnd strong accumulated carbon emission at t time interval IAccumulated, t, jEmission standard value B determined by the evaluation standard modulejComparing to determine the early warning level of the emission risk of each level of the control and emission enterprises; for a conglomerate, the carbon emission of the conglomerate as a whole Et, total、ECumulative, t, totalAnd total quota of group At, total/ACumulative, t, totalComparing to determine the early warning level of the group company emission risk, wherein At, totalMeans total quota, A, of group in t time intervalCumulative, t, totalThe cumulative total quota amount of the t-th time interval of the group in the natural year); the early warning grades of the control and emission enterprise j and the corporate company are divided into four grades of red, orange, yellow and green, and the full and shortage conditions of quotas in particularly serious, more serious and safe states are respectively indicated.
Control and arrange rabbetThe risk early warning grades of the industry are as follows: when I isAccumulated, t, j＞BjEarly warning level is red when (1+ a%), and B isj＜IAccumulated, t, j≤BjEarly warning rating at (1+ a%) is orange, when IAccumulated, t, j≤BjAnd It,j＞BjWhen the early warning level is yellow, when IAccumulated, t, j≤BjAnd It,j≤BjThe early warning level is green, and a% is the emission scale coefficient of the enterprise. The value of a% is between 0 and 1, and the a% is determined according to the scale condition of the enterprise emission, the economic bearing capacity and the risk control capacity.
The risk early warning levels of the group are as follows: when E isCumulative, t, total＞ACumulative, t, total(1+ b%) is red, when ACumulative, t, total＜ECumulative, t, total≤ACumulative, t, totalEarly warning rating of orange when (1+ b%) is given as ECumulative, t, total≤ACumulative, t, totalAnd Et, total＞At, totalWhen the early warning level is yellow, when ECumulative, t, total≤ACumulative, t, totalAnd Et, total≤At, totalThe early warning level is green, and b% is the group discharge scale coefficient. The value of b% is between 0 and 1, and b% is determined according to the emission scale condition, the economic bearing capacity and the risk control capacity of the group company.
Preferably, the early warning information system further comprises a chart display module for realizing a visualization function module of the system, and the data read from the carbon emission database is matched with the corresponding position on the group organization architecture diagram or the geographical position distribution diagram to draw and form the risk early warning distribution diagram.
And displaying the early warning levels in different colors (red, orange, yellow and green) on the risk early warning distribution map, generating early warning messages at corresponding positions for viewing and operating, and sending the risk early warning distribution map and the early warning messages to the clients of the group or each level of enterprises to perform emission standard exceeding early warning. And the group or each level of control and emission enterprises can also inquire the emission condition of each enterprise unit on the risk early warning distribution map.
Preferably, the early warning information system further comprises an enterprise user management module, which is used for constructing a system management architecture, creating and logging out enterprises, increasing and decreasing emission information of managed enterprise units and updating the system. The system comprises a user basic information management unit, a role management unit and a classification model unit, wherein the user basic information management unit is used for creating and managing user accounts, passwords, information and authorities of groups and enterprises at all levels and is used for adding, modifying, deleting and inquiring user-related basic information; the role management is to set roles for the users according to the enterprise level, the user management level and the role authority system; and the user classification unit classifies enterprises of different industries and different scales according to factors such as the industry to which the enterprises belong, the emission scale and the like, so that the determination of an early warning evaluation standard and the generation of an early warning coping decision are facilitated.
The early warning information system also comprises an emission index prediction module, and enterprises at all levels utilize the existing data analysis modeling according to the output result of the data analysis processing module and the annual/monthly production plan, and predict the emission index changes of the total emission, the emission intensity, the annual carbon emission quota excess (surplus) amount and the like of the enterprises so as to guide early warning coping management or emission reduction management work.
The early warning information system also comprises an early warning coping decision module which is mainly used for providing timely and effective coping strategies for groups and enterprises at all levels according to data analysis and processing results, early warning grade information and emission index prediction results. Various effective coping strategies exist in the database, and are matched with the early warning coping strategies according to the early warning grade information and the emission index prediction result to generate corresponding prevention and correction strategies. And establishing or updating and adjusting specific coping strategies aiming at different kinds of information characteristics (including data analysis and processing results, early warning grade information and emission index prediction results) based on expert evaluation of the effectiveness of the post coping decision.
Preferably, the early warning information system further comprises a data information storage module, and the data information storage module is used for displaying and replaying visual data information, predicting trends and evaluating strategy effectiveness according to the collected data, the data analysis and processing result, the early warning level time-space distribution diagram and the records of coping strategy operation.
The early warning information system also comprises a reward and punishment assessment module which is used for comparing the annual emission intensity index, the total emission amount, the annual emission assessment standard and the emission quota amount, evaluating the emission conditions of enterprises at all levels of the group after the natural year is over, screening out advanced units, standard units and non-standard units, carrying out exterior recognition on the advanced units and carrying out notification and criticism on the non-standard units.
The coping strategy is as follows:
the integral early warning level of the group is yellow and green, the early warning levels of subordinate control and emission enterprises are red and orange, and quota unified allocation is carried out by the group company; the whole early warning level of the group is red and orange, the early warning level companies of subordinate controlled and emission enterprises have yellow and green colors, and after internal deployment is carried out by the group company, external CCER/quota indexes are purchased or emission reduction measures are implemented.
Has the advantages that: compared with the prior art, the invention has the following remarkable advantages: the carbon emission early warning method and the early warning information system of the group company can calculate the carbon emission amount and the carbon emission intensity index of the group and the enterprises to be controlled and arranged at all levels through statistical analysis by acquiring the basic parameter data of the greenhouse gas emission of the enterprises to be controlled and arranged at all levels in all time periods of the year in the group, comparing with reasonably established group and emission quota standard and quota amount of each level of control and emission enterprise, determining the emission risk early warning level of each level of control and emission enterprise and group, directly and clearly displaying the risk early warning level of the group and each level of enterprise through a chart, the quota exceeding can be timely found, analyzed and judged at two levels of an enterprise and a group, early warning information is issued, the group companies are convenient to coordinate uniformly, all levels of companies are fully matched, control measures are adopted to regulate and control the quota in a targeted manner, internal allocation is prioritized, the management gateway is advanced, the carbon emission management efficiency is improved, and the economic loss and reputation risk caused by the fact that the quota fails to perform as expected are reduced to the maximum extent.
Drawings
FIG. 1 is a flow chart of a carbon emission warning method for group companies;
fig. 2 is a structural diagram of a carbon emission warning information system of a group company.
Detailed Description
The technical solution of the present invention is further illustrated by the following examples.
As shown in fig. 2, the carbon emission early warning information system of a group company of the present invention includes the following modules:
(1) enterprise user management module
The system is used for constructing a system management architecture, creating and logging out enterprises, increasing and decreasing emission information of managed enterprise units and updating the system.
The system comprises a user basic information management unit, a role management unit and a classification model unit, wherein the user basic information management unit is used for creating and managing user accounts, passwords, information and authorities of groups and enterprises at all levels and is used for adding, modifying, deleting and inquiring user-related basic information; the role management is to set roles for the users according to the enterprise level, the user management level and the role authority system; and the user classification unit classifies enterprises of different industries and different scales according to factors such as the industry to which the enterprises belong, the emission scale and the like, so that the determination of an early warning evaluation standard and the generation of an early warning coping decision are facilitated.
(2) Data acquisition module
The data acquisition module comprises a data entry unit, a data calling unit and a report acquisition unit, the emission can be calculated on line through an internal accounting model by entering activity level data and emission factors, the carbon emission filling system can be called from the existing carbon emission filling system or enterprise carbon emission and yield data can be intercepted from a carbon emission report file, the enterprise carbon emission filling system and a database of the system are in the same intranet system, and the data can be called in a DBlink mode. The daily monitoring function of the emission condition of an enterprise is realized by reducing the data acquisition time interval, and the conditional thermal power generation enterprise can access the continuous flue gas emission monitoring system into the system so as to facilitate the real-time tracking of the emission condition and the fine data management.
(3) Data analysis processing module
And the data analysis processing module is mainly used for analyzing and processing the acquired data and comprises a product yield statistical unit and an emission index analysis statistical unit.
The product yield statistical unit is used for analyzing and calculating relevant indexes of product yield, including total industrial yield of enterprises and the like; the emission index analyzing and counting unit is used for analyzing and counting the emission amount and the emission intensity (unit product or unit output value emission amount) of the enterprises in the group and each level, and the specific parameters include but are not limited to:
each control and arrangement enterprise
Emission per year/month and carbon emission intensity in history
Intensity of carbon emission I in the t-th time intervalt,j；
Accumulated carbon emission intensity I within time interval of t within natural yearAccumulated, t, j
Ratio of discharge amount of each discharge category
Group company
Emission per year/month of history
Carbon emission from group E in the t-th time intervalt, total
Cumulative carbon emission E of a group at time interval tCumulative, t, total
Emission ratio of enterprises in each industry/emission ratio of enterprises
(4) Evaluation standard module
The evaluation standard module comprises a direct reporting unit and a system generation unit, wherein the direct reporting unit can determine the emission evaluation standard and the emission quota amount of each enterprise according to an industry distribution scheme and a carbon emission intensity constraint value, a reference value or an advanced value of each industry. The system generation unit can comprehensively determine the emission evaluation standard and the emission quota amount of each enterprise according to the historical annual carbon emission amount, the carbon emission intensity and the emission reduction target of the enterprise.
When the enterprises generate different emission evaluation standard values and emission quota amounts through the direct reporting unit and the system generating unit, stricter standard values or administrative mandatory standard values can be selected by combining national and local administrative management requirements and low-carbon strategic planning of the enterprises. And the total quota of each controlled and ranked enterprise and group is obtained by multiplying and accumulating the evaluation standard value and the product yield value in the corresponding time period.
(5) Risk early warning module
Setting different levels of early warning thresholds based on emission standards, regularly comparing the carbon emission amount and carbon emission intensity calculated by the accounting with the early warning thresholds of each level, judging whether the carbon emission amount and the carbon emission intensity exceed the standards or not, identifying early warning risk levels and sending early warning information.
For the emission control enterprises, controlling j emission control enterprises to emit carbon emission intensity I in the t time intervalt,jAnd strong accumulated carbon emission at t time interval IAccumulated, t, jEmission standard value B determined by the evaluation standard modulejComparing to determine the early warning level of the emission risk of each level of the control and emission enterprises; for a conglomerate, the carbon emission of the conglomerate as a whole Et, total、ECumulative, t, totalAnd total quota of group At, total/ACumulative, t, total(wherein, A)t, totalMeans total quota, A, of group in t time intervalCumulative, t, totalThe natural year and the cumulative total quota amount of the t-th time interval of the group) to determine the early warning level of the group company emission risk. The early warning levels of the control and emission enterprise j and the group company are divided into four levels of red, orange, yellow and green, and the filling and shortage conditions of the quota are respectively indicated: particularly severe, more severe and safe states.
The specific division threshold ranges are shown in the following table:
j early warning grade division of control and arrangement enterprises
Description of the drawings: the a% may be set based on the emission scale of the enterprise.
Group company early warning level division
Description of the drawings: the b% may be set based on the emission scale of the agglomeration.
(6) Chart display module
And the visual function module is used for realizing the system, reading data from the carbon emission database, matching the data with corresponding positions on the group organization architecture diagram or the geographic position distribution diagram, and drawing to form the risk early warning distribution diagram.
And displaying the early warning grade on the risk early warning distribution map by the display color of the table, generating early warning messages at corresponding positions for viewing and operating, and sending the risk early warning distribution map and the early warning messages to clients of groups or enterprises at all levels to perform emission standard exceeding early warning.
And the group or each level of control and emission enterprises can also inquire the emission condition of each enterprise unit on the risk early warning distribution map.
(7) Emission index prediction module
And (3) according to the output result of the data analysis processing module and the annual/monthly production plan, the enterprises at all levels utilize the existing data analysis modeling to predict the changes of emission indexes such as total emission, emission intensity, annual carbon emission quota excess (surplus) amount and the like of the enterprises so as to guide early warning coping management or emission reduction management work.
(8) Early warning response decision-making module
The early warning coping strategy module is mainly used for providing timely and effective coping strategies for groups and enterprises at all levels according to data analysis processing results, early warning grade information and emission index prediction results. Various effective coping strategies exist in the database, and are matched with the early warning coping strategies according to the early warning grade information and the emission index prediction result to generate corresponding prevention and correction strategies. And establishing or updating and adjusting specific coping strategies aiming at different kinds of information characteristics (including data analysis processing results, early warning grade information and emission index prediction results) based on expert evaluation of the effectiveness of the strategy afterwards.
(9) Data information storage module
And the collected data, the data analysis and processing result, the early warning level time-space distribution map and the record of coping strategy operation are used for displaying and replaying visual data information, predicting trends and evaluating strategy effectiveness.
(10) Reward punishment examination module
The method is used for comparing the annual emission intensity index, the total emission amount, the annual emission evaluation standard and the emission quota amount, evaluating the emission conditions of enterprises at all levels of the group after the natural year is finished, screening advanced units, standard units and non-standard units, carrying out exterior recognition on the advanced units, and carrying out notification and criticism on the non-standard units.
The values of a and b can be determined according to the economic bearing capacity and the risk control capacity of an enterprise, and different values of a and b are assumed to be used for dividing early warning risk levels according to the emission scale of the enterprise:
TABLE 1
| Enterprise emission quantity rating | Value of a/b |
| Annual emission of enterprises is less than 1 million tons of carbon dioxide equivalent | 50％ |
| 1 ten thousand tons of carbon dioxide equivalent is less than or equal to discharge amount less than 5 ten thousand tons of carbon dioxide equivalent | 20％ |
| 5 ten thousand tons of carbon dioxide equivalent is less than or equal to discharge amount and less than 10 ten thousand tons of carbon dioxide equivalent | 10％ |
| The emission is less than or equal to 10 ten thousand tons of carbon dioxide equivalent and less than 100 ten thousand tons of carbon dioxide equivalent | 5％ |
| The emission is more than or equal to 100 million tons of carbon dioxide equivalent | 3％ |
As shown in fig. 1, the method for early warning of carbon emission of a group company according to the present invention comprises the following steps:
(1) acquiring carbon emission and product yield data (i can be monthly, quarterly or even daily) in time interval i of each level of planned control and emission enterprises in the group;
(2) storing, analyzing and processing the carbon emission and product yield data of the enterprise to be controlled and discharged, and accounting the following parameter data:
each control and arrangement enterprise
Emission per year/month and carbon emission intensity in history
Carbon emission intensity It, j for the t time interval;
in natural years, the cumulative carbon emission intensity Iout, t, j at t time intervals
Ratio of discharge amount of each discharge category
Group company
Emission per year/month of history
Total group carbon emissions E t in the t-th time interval
In natural years, the cumulative carbon emission Earh, t, total of the group by t time interval
Emission ratio of enterprises in each industry/emission ratio of enterprises
(3) Presetting a reference value B of each to-be-controlled enterprise in the early warning system based on an industry distribution scheme and a carbon emission intensity constraint value, a reference value or an advanced value of each industryjWhen the distribution scheme of the industry to which the controlled-release enterprise belongs and information such as a carbon emission intensity constraint value, a reference value or an advanced value are lacked, the control-release enterprise and group total quota amount is comprehensively generated and determined according to parameters such as the historical annual carbon emission amount of the enterprise, the carbon emission intensity and an emission reduction target, and is obtained by multiplying and accumulating the product yield in the reference value and the corresponding time period;
(4) and determining the emission risk early warning level of each level of emission control enterprises and groups according to the comparison of the carbon emission intensity and the carbon emission amount with the emission standard and the quota total amount.
Comparing the carbon emission intensity It, j of j-controlled enterprise in the t-th time interval with the accumulated carbon emission intensity Iout, t, j of t-cut time interval with an emission benchmark Bj, and determining the emission risk early warning grade of each level of controlled enterprise; and (3) comparing the carbon emission Et, the total amount, the Eaccumulation, the t, the total group total quota amount A t, the total/A accumulation, the t, the total (wherein, A t, the total group total quota amount in the t-th time interval, the A accumulation, the t, the total natural year and the t-th time interval accumulated total quota amount by the group) of the whole group to determine the emission risk early warning level of the group company. The early warning levels of the control and emission enterprise j and the group company are divided into four levels of red, orange, yellow and green, and the filling and shortage conditions of the quota are respectively indicated: particularly severe, more severe and safe states. The specific division threshold ranges are shown in the following table:
j early warning grade division of control and arrangement enterprises
Description of the drawings: the a% may be set based on the emission scale of the enterprise.
Group company early warning level division
Description of the drawings: b% can be set based on the emission scale of the group
(5) And according to the emission and early warning level of the group and each control and emission enterprise, overlapping and drawing a group organization architecture diagram or a geographical position distribution diagram to form a risk early warning distribution diagram.
And displaying the early warning grade on the risk early warning distribution map by the display color of the table, generating early warning information at a corresponding position, and sending the risk early warning distribution map and the early warning information to a group or a client of each level of control and emission enterprise to perform emission overproof early warning.
(6) And forming an effective coping strategy in time according to the risk early warning grade and the early warning information.
The coping strategy is as follows:
the integral early warning level of the group is yellow and green, the early warning levels of subordinate control and emission enterprises are red and orange, and quota unified allocation can be carried out by the group company;
the whole early warning level of the group is red and orange, the early warning level companies of subordinate controlled and emission enterprises have yellow and green colors, and after internal deployment is carried out by the group company, external CCER/quota indexes are purchased or emission reduction measures are implemented.
Claims (10)
1. A group company carbon emission early warning system is characterized in that: comprises a data acquisition module, a data analysis and processing module, an evaluation standard module and a risk early warning module,
the data acquisition module is used for acquiring the carbon emission and product yield data in the time interval i of each level of control and emission enterprises belonging to the group;
the data analysis processing module is used for analyzing and processing the acquired data and respectively carrying out statistical calculation on the carbon emission and carbon emission intensity indexes of each level of the simulated emission control enterprise;
the evaluation standard module is used for setting a discharge limit reference value of a group and each level of control and emission enterprises belonging to the group;
and the risk early warning module is used for regularly comparing the carbon emission amount and the carbon emission intensity which are calculated by accounting with preset emission limit reference values of the group and each level of control and emission enterprises belonging to the group, and carrying out early warning according to the comparison result.
2. A carbon emission early warning method for group companies is characterized by comprising the following steps:
(1) acquiring carbon emission and product yield data in time interval i of each level of control and emission enterprises belonging to the group;
(2) analyzing and processing carbon emission and product yield data of the emission control enterprises, and respectively carrying out statistical calculation on carbon emission and carbon emission intensity indexes of all levels of emission control enterprises;
(3) and comparing the carbon emission amount and the carbon emission intensity which are calculated by the accounting with preset emission limit reference values of the group and each level of control and emission enterprises belonging to the group, and performing early warning according to the comparison result.
3. The carbon emission early warning method for group companies according to claim 2, wherein: the step (3) specifically comprises the following steps:
(a) according to the carbon emission intensity and the carbon emission amount, comparing with preset emission limit reference values of a group and each level of emission control enterprises belonging to the group, determining the emission risk early warning level of each level of emission control enterprises and the group;
(b) according to the carbon emission amount and the risk early warning level of the group and each control and emission enterprise, a risk early warning distribution map is formed by superposing and drawing a group organization architecture map or a geographic position distribution map, the early warning level is displayed in different colors on the risk early warning distribution map, early warning information is generated at a corresponding position, the risk early warning distribution map and the early warning information are sent to the client side of the group or each control and emission enterprise, and emission overproof early warning is carried out;
(c) and forming a coping strategy according to the risk early warning grade and the early warning information.
4. The carbon emission early warning method for group companies according to claim 3, wherein the risk early warning level is classified as follows: for the emission control enterprises, controlling j emission control enterprises to emit carbon emission intensity I in the t time intervalt,jAnd strong accumulated carbon emission at t time interval IAccumulated, t, jEmission standard value B determined by the evaluation standard modulejComparing to determine the early warning level of the emission risk of each level of the control and emission enterprises; for a conglomerate, the carbon emission of the conglomerate as a whole Et, total、ECumulative, t, totalAnd total quota of group At, total/ACumulative, t, totalComparing to determine the early warning level of the group company emission risk, wherein At, totalMeans total quota, A, of group in t time intervalCumulative, t, totalThe total quota amount is accumulated by the t-th time interval of the group in the natural year; the early warning grades of the control and emission enterprise j and the corporate company are divided into four grades of red, orange, yellow and green, and the full and shortage conditions of quotas in particularly serious, more serious and safe states are respectively indicated.
5. The carbon emission early warning method for group companies according to claim 4, wherein the risk early warning level of the controlled enterprise is as follows: when I isAccumulated, t, j＞BjEarly warning level is red when (1+ a%), and B isj＜IAccumulated, t, j≤BjEarly warning rating at (1+ a%) is orange, when IAccumulated, t, j≤BjAnd It,j＞BjWhen the early warning level is yellow, when IAccumulated, t, j≤BjAnd It,j≤BjThe early warning level is green, and a% is the emission scale coefficient of the enterprise.
6. The carbon emission early warning method for group companies according to claim 5, wherein: the value of the a% is between 0 and 1, and the a% is determined according to the discharge amount scale condition of the emission control enterprises, the economic bearing capacity and the risk control capacity.
7. The carbon emission warning method for a group company according to claim 4, wherein the risk warning levels of the group are as follows: when E isCumulative, t, total＞ACumulative, t, total(1+ b%) is red, when ACumulative, t, total＜ECumulative, t, total≤ACumulative, t, totalEarly warning rating of orange when (1+ b%) is given as ECumulative, t, total≤ACumulative, t, totalAnd Et, total＞At, totalWhen the early warning level is yellow, when ECumulative, t, total≤ACumulative, t, totalAnd Et, total≤At, totalThe early warning grade is green, b% is the emission scale coefficient of the group, the value of b% is between 0 and 1, and b% is determined according to the emission scale condition, the economic bearing capacity and the risk control capacity of the group company.
8. The carbon emission early warning method for group companies according to claim 2, wherein: in the step (1), the emission is obtained through an internal accounting model.
9. The carbon emission early warning method for group companies according to claim 2, wherein: in the step (2), the carbon emission and product yield data comprise the historical annual or monthly emission and carbon emission intensity of each emission control enterprise and the t-th specific time intervalCarbon emission intensity It,jCumulative carbon emission intensity at time interval t within natural yearAccumulated, t, jThe emission ratio of each emission category, the emission of each year or month in the history of the group company, and the emission E of carbon from the group in the t-th specific time intervalt, totalAnd the cumulative carbon emission E of the group at the time interval of t within the natural yearCumulative, t, totalThe emission of enterprises in various industries accounts for the ratio or the emission of enterprises accounts for the ratio.
10. The carbon emission early warning method for group companies according to claim 2, wherein: in the step (3), the emission quota reference value is based on an industry distribution scheme and a carbon emission intensity constraint value, a reference value or an advanced value of each industry, when the distribution scheme and the carbon emission intensity constraint value, the reference value or the advanced value of the industry to which the controlled emission enterprise belongs are absent, the emission limit reference value is determined according to the historical annual carbon emission amount, the carbon emission intensity and the emission reduction target of the enterprise, and the total quota amount of each controlled emission enterprise and each group is obtained by multiplying and accumulating the reference value and the product yield value in the corresponding time period.
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