CN116307866B - Carbon emission metering method, equipment and carbon metering system - Google Patents
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Abstract
The application provides a carbon emission metering method, carbon emission metering equipment and a carbon metering system, and relates to the field of carbon emission. Judging whether each area exceeds the carbon emission index, and analyzing emission reduction indexes according to the emission ratios of a plurality of enterprises; judging whether a plurality of enterprises in each region exceed emission reduction indexes currently, and acquiring total reject quantity of the regions exceeding all carbon emission indexes and excessive discharge quantity of the enterprises exceeding the emission reduction indexes; judging whether the total excessive discharge capacity of a plurality of enterprises is lower than the reject ratio so as to adjust the emission reduction index; collecting a plurality of groups of carbon emission training data, wherein each group of data comprises a carbon emission index, an emission amount occupation ratio, an excessive emission amount, a disqualification amount and an adjusted emission reduction index; the method comprises the steps that multiple groups of data are trained through machine learning to obtain a carbon emission training model, and carbon emission real-time data of each enterprise are supervised through emission reduction indexes output by the model; the supervision of carbon emission is realized, and the energy conservation and environmental protection are satisfied.
Description
Technical Field
The application relates to the field of carbon emission, in particular to a carbon emission metering method, carbon emission metering equipment and a carbon metering system.
Background
Carbon accounting generally takes place in two ways: firstly, completing carbon metering report and check of a control and discharge enterprise by adopting a manual mode; the second mode is that the accounting system adopts a centralized communication structure, emission data is collected through the bottom layer equipment, then the bottom layer emission data is collected and summarized to the enterprise-level monitoring platform or even the regional-level supervision platform, an accounting result is obtained through calculation of the top layer of the system, and finally the accounting result is issued to the bottom layer equipment or the energy management system. Along with the increasing attention of energy conservation and emission reduction, the existing auditing mode is single, gradually does not meet the requirements, is unfavorable for metering and managing the carbon emission in each region, and currently, a carbon emission metering method capable of supervising the urban carbon emission and maintaining energy conservation and environmental protection is needed.
Disclosure of Invention
The application aims to provide a carbon emission metering method which can solve the problem of single existing carbon emission auditing mode, realize supervision of urban carbon emission and meet the requirements of energy conservation and environmental protection.
The application aims to provide carbon emission metering equipment which can solve the problem of single existing carbon emission auditing mode, realize supervision of urban carbon emission and meet the requirements of energy conservation and environmental protection.
The application aims to provide a carbon metering system which can solve the problem of single existing carbon emission auditing mode, realize supervision of urban carbon emission and meet the requirements of energy conservation and environmental protection.
Embodiments of the present application are implemented as follows:
in a first aspect, an embodiment of the present application provides a carbon emission measurement method, including the steps of determining whether each region exceeds a plurality of carbon emission indexes according to carbon emission history data of each region, and when the determination is yes, analyzing emission reduction indexes of each of the carbon emission indexes according to emission amounts of a plurality of enterprises in the corresponding region; judging whether a plurality of enterprises in each region currently exceed the emission reduction indexes corresponding to the carbon emission indexes, and when the judgment is yes, acquiring the reject quantity of the regions exceeding the carbon emission indexes and the excessive discharge quantity of the enterprises in the regions exceeding the emission reduction indexes; judging whether the total excessive discharge capacity of a plurality of enterprises in the area is lower than the reject ratio, and adjusting the emission reduction index according to a judging result; collecting a plurality of groups of carbon emission training data, wherein each group of carbon emission training data comprises one or more carbon emission indexes, the emission ratio of at least one enterprise for each carbon emission index, the over-discharge capacity, the reject ratio and the adjusted emission reduction index; a plurality of groups of carbon emission training data are trained through machine learning to obtain a carbon emission training model; and monitoring the carbon emission real-time data of each enterprise by the emission reduction index output by the carbon emission training model.
In some embodiments of the present application, the carbon emission measurement method includes the step of analyzing the emission reduction index according to the emission ratio of each enterprise for the carbon emission index.
In some embodiments of the present application, the carbon emission measurement method includes the steps of counting emission amounts of enterprises for different emission types according to the carbon emission history data, wherein the same emission type corresponds to one or more carbon emission indexes, and counting the emission amount ratio of each enterprise for each carbon emission index.
In some embodiments of the present application, the carbon emission measurement method includes the following steps, where the emission reduction index is adjusted according to a ratio of the emission or the excess emission of each enterprise in the corresponding region.
In some embodiments of the present application, the carbon emission measurement method includes the steps of determining whether a total overstock of a plurality of enterprises in the area is lower than the reject ratio, increasing the emission reduction index when the determination is yes, and decreasing the emission reduction index when the determination is no.
In a second aspect, embodiments of the present application provide a carbon emission metering device, comprising: a memory for storing one or more programs; a processor; the method as described in any one of the first aspects is implemented when the one or more programs are executed by the processor.
In a third aspect, embodiments of the present application provide a carbon metering system, implemented based on the method of any one of the first aspects.
Compared with the prior art, the embodiment of the application has at least the following advantages or beneficial effects:
with respect to the first to third aspects: according to the application, whether the carbon emission historical data of each region exceeds a plurality of carbon emission indexes is judged, and when the judgment is yes, emission reduction indexes of each enterprise which need to reduce carbon emission for the plurality of carbon emission indexes are respectively analyzed according to the emission amount occupation ratio of a plurality of enterprises of the corresponding region, so that whether the plurality of enterprises currently exceed the emission reduction indexes of the corresponding carbon emission indexes is judged, and whether the current enterprises carry out emission reduction measures is supervised; when the judgment is yes, the reject ratio of the area exceeding each carbon emission index and the excessive discharge capacity of each enterprise exceeding the emission reduction index in the area are obtained; judging whether the total excessive discharge of a plurality of enterprises in the area is lower than the reject ratio of the area exceeding environmental protection indexes, adjusting the emission reduction indexes according to the judging result, and carrying out environmental protection control through a plurality of enterprise industries; collecting multiple groups of carbon emission training data, wherein each group of carbon emission training data comprises one or more carbon emission indexes which do not meet the requirements of the region, the emission ratio, the excessive emission, the disqualification amount and the adjusted emission reduction indexes of one or more enterprises in the region aiming at each carbon emission index; the carbon emission training data are subjected to machine learning training to obtain a carbon emission training model, and emission reduction indexes of carbon emission real-time data are output through the carbon emission training model, so that whether the real-time carbon emission of enterprises is excessive or not is monitored, and the supervision of regional energy conservation and environmental protection is enhanced. The application can solve the problem of single existing carbon emission auditing mode, realize the supervision of urban carbon emission and meet the requirements of energy conservation and environmental protection.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a carbon emission metering method according to embodiment 1 of the present application;
FIG. 2 is an analytical graph of the emission ratio in example 1 of the present application;
FIG. 3 is a flow chart of the emission reduction index of embodiment 1 of the present application;
fig. 4 is a schematic diagram of a carbon emission metering system according to embodiment 2 of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. The components of the embodiments of the present application generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the application, as presented in the figures, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Some embodiments of the present application are described in detail below with reference to the accompanying drawings. The various embodiments and features of the embodiments described below may be combined with one another without conflict.
Example 1
Referring to fig. 1 to 3, fig. 1 to 3 are schematic diagrams illustrating a carbon emission metering method according to an embodiment of the application. The carbon emission measuring method comprises the following steps of judging whether each region exceeds a plurality of carbon emission indexes according to the carbon emission history data of each region, and respectively analyzing emission reduction indexes of each carbon emission index according to the emission amount ratio of a plurality of enterprises in the corresponding region when the judgment is yes; judging whether a plurality of enterprises in each region currently exceed the emission reduction indexes corresponding to the carbon emission indexes, and when the judgment is yes, acquiring the reject quantity of the regions exceeding the carbon emission indexes and the excessive discharge quantity of the enterprises in the regions exceeding the emission reduction indexes; judging whether the total excessive discharge capacity of a plurality of enterprises in the area is lower than the reject ratio, and adjusting the emission reduction index according to a judging result; collecting a plurality of groups of carbon emission training data, wherein each group of carbon emission training data comprises one or more carbon emission indexes, the emission ratio of at least one enterprise for each carbon emission index, the over-discharge capacity, the reject ratio and the adjusted emission reduction index; a plurality of groups of carbon emission training data are trained through machine learning to obtain a carbon emission training model; and monitoring the carbon emission real-time data of each enterprise by the emission reduction index output by the carbon emission training model.
According to the application, whether the carbon emission historical data of each region exceeds a plurality of carbon emission indexes is judged, and when the judgment is yes, emission reduction indexes of each enterprise which need to reduce carbon emission for the plurality of carbon emission indexes are respectively analyzed according to the emission amount occupation ratio of a plurality of enterprises of the corresponding region, so that whether the plurality of enterprises currently exceed the emission reduction indexes of the corresponding carbon emission indexes is judged, and whether the current enterprises carry out emission reduction measures is supervised; when the judgment is yes, the reject ratio of the area exceeding each carbon emission index and the excessive discharge capacity of each enterprise exceeding the emission reduction index in the area are obtained; judging whether the total excessive discharge of a plurality of enterprises in the area is lower than the reject ratio of the area exceeding environmental protection indexes, adjusting the emission reduction indexes according to the judging result, and carrying out environmental protection control through a plurality of enterprise industries; collecting multiple groups of carbon emission training data, wherein each group of carbon emission training data comprises one or more carbon emission indexes which do not meet the requirements of the region, the emission ratio, the excessive emission, the disqualification amount and the adjusted emission reduction indexes of one or more enterprises in the region aiming at each carbon emission index; the carbon emission training data are subjected to machine learning training to obtain a carbon emission training model, and emission reduction indexes of carbon emission real-time data are output through the carbon emission training model, so that whether the real-time carbon emission of enterprises is excessive or not is monitored, and the supervision of regional energy conservation and environmental protection is enhanced. The application can solve the problem of single existing carbon emission auditing mode, realize the supervision of urban carbon emission and meet the requirements of energy conservation and environmental protection.
In some embodiments of the present application, the carbon emission measurement method includes the step of analyzing the emission reduction index according to the emission ratio of each enterprise for the carbon emission index. According to the application, the emission reduction indexes are analyzed through the emission ratio of the carbon emission indexes, so that the emission process of different carbon emission indexes by each enterprise is controlled in a directional manner.
In some embodiments of the present application, the carbon emission measurement method includes the steps of counting emission amounts of enterprises for different emission types according to the carbon emission history data, wherein the same emission type corresponds to one or more carbon emission indexes, and counting the emission amount ratio of each enterprise for each carbon emission index.
According to the carbon emission historical data, the emission of different emission of each enterprise in the area is counted, the same emission type corresponds to carbon emission indexes of a plurality of factors, so that the emission of a plurality of carbon emission indexes is counted by using different emission, the emission ratio of each enterprise to the carbon emission indexes is obtained, the emission reduction indexes required by the enterprises are obtained according to the ratio, and the environmental protection and control are carried out by using the emission reduction index supervision enterprises.
In some embodiments of the present application, the carbon emission measurement method includes the following steps, where the emission reduction index is adjusted according to a ratio of the emission or the excess emission of each enterprise in the corresponding region.
And adjusting the emission reduction indexes according to the total emission of enterprises in the corresponding region or the ratio of the excessive emission exceeding the requirement, for example, the excessive emission is utilized to occupy the total excessive emission of the region, so that the respective emission reduction targets are formulated according to the total emission reduction of the region. The total emission reduction capacity of the area can be set according to a preset target emission amount, so that synchronous supervision is performed according to the actual emission reduction process.
In some embodiments of the present application, the carbon emission measurement method includes the steps of determining whether a total overstock of a plurality of enterprises in the area is lower than the reject ratio, increasing the emission reduction index when the determination is yes, and decreasing the emission reduction index when the determination is no.
Judging whether the total overstock of a plurality of enterprises in the area is lower than the index required by the area, thereby properly improving the emission reduction index when the total overstock is lower than the index required by the area and reducing the emission of the enterprises aiming at the index; when the emission reduction index is higher than the index, the emission reduction index is properly reduced, so that enterprises can reasonably increase the emission of the index.
Example 2
Referring to fig. 4, fig. 4 is a schematic block diagram of an electronic device according to an embodiment of the present application. The electronic device comprises a memory 101, a processor 102 and a communication interface 103, wherein the memory 101, the processor 102 and the communication interface 103 are electrically connected with each other directly or indirectly to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 101 may be used to store software programs and modules, such as program instructions/modules corresponding to the implementation of the carbon emission metering method provided in embodiment 1 of the present application, and the processor 102 executes the software programs and modules stored in the memory 101, thereby performing various functional applications and data processing. The communication interface 103 may be used for communication of signaling or data with other node devices.
The Memory 101 may be, but is not limited to, a random access Memory (Random Access Memory, RAM), a Read Only Memory (ROM), a programmable Read Only Memory (Programmable Read-Only Memory, PROM), an erasable Read Only Memory (Erasable Programmable Read-Only Memory, EPROM), an electrically erasable Read Only Memory (Electric Erasable Programmable Read-Only Memory, EEPROM), etc.
The processor 102 may be an integrated circuit chip with signal processing capabilities. The processor 102 may be a general purpose processor including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), etc.; but also digital signal processors (Digital Signal Processing, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.
It will be appreciated that the configuration shown in fig. 4 is merely illustrative, and that the electronic device may also include more or fewer components than shown in fig. 1, or have a different configuration than shown in fig. 4. The components shown in fig. 4 may be implemented in hardware, software, or a combination thereof.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. The apparatus embodiments described above are merely illustrative, for example, of the flowcharts and block diagrams in the figures that illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form a single part, or each module may exist alone, or two or more modules may be integrated to form a single part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In summary, the embodiment of the application provides a carbon emission metering method, a device and a carbon metering system: according to the application, whether the carbon emission historical data of each region exceeds a plurality of carbon emission indexes is judged, and when the judgment is yes, emission reduction indexes of each enterprise which need to reduce carbon emission for the plurality of carbon emission indexes are respectively analyzed according to the emission amount occupation ratio of a plurality of enterprises of the corresponding region, so that whether the plurality of enterprises currently exceed the emission reduction indexes of the corresponding carbon emission indexes is judged, and whether the current enterprises carry out emission reduction measures is supervised; when the judgment is yes, the reject ratio of the area exceeding each carbon emission index and the excessive discharge capacity of each enterprise exceeding the emission reduction index in the area are obtained; judging whether the total excessive discharge of a plurality of enterprises in the area is lower than the reject ratio of the area exceeding environmental protection indexes, adjusting the emission reduction indexes according to the judging result, and carrying out environmental protection control through a plurality of enterprise industries; collecting multiple groups of carbon emission training data, wherein each group of carbon emission training data comprises one or more carbon emission indexes which do not meet the requirements of the region, the emission ratio, the excessive emission, the disqualification amount and the adjusted emission reduction indexes of one or more enterprises in the region aiming at each carbon emission index; the carbon emission training data are subjected to machine learning training to obtain a carbon emission training model, and emission reduction indexes of carbon emission real-time data are output through the carbon emission training model, so that whether the real-time carbon emission of enterprises is excessive or not is monitored, and the supervision of regional energy conservation and environmental protection is enhanced. The application can solve the problem of single existing carbon emission auditing mode, realize the supervision of urban carbon emission and meet the requirements of energy conservation and environmental protection.
The above description is only of the preferred embodiments of the present application and is not intended to limit the present application, but various modifications and variations can be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (6)
1. The carbon emission metering method is characterized by comprising the following steps of,
judging whether each region exceeds a plurality of carbon emission indexes according to the carbon emission history data of each region, and when the judgment is yes, respectively analyzing emission reduction indexes of each carbon emission index according to the emission ratio of a plurality of enterprises in the corresponding region;
judging whether a plurality of enterprises in each region exceed the emission reduction indexes corresponding to the carbon emission indexes currently, and when the judgment is yes, acquiring the reject quantity of the regions exceeding the carbon emission indexes and the excessive discharge quantity of the enterprises in the regions exceeding the emission reduction indexes; judging whether the total excessive discharge capacity of a plurality of enterprises in the area is lower than the reject ratio, and adjusting the emission reduction index according to a judging result;
collecting a plurality of groups of carbon emission training data, wherein each group of carbon emission training data comprises one or more carbon emission indexes, the emission duty ratio, the excessive discharge amount, the disqualification amount and the adjusted emission reduction indexes of at least one enterprise aiming at each carbon emission index;
the carbon emission training data are subjected to machine learning training to obtain a carbon emission training model; monitoring the carbon emission real-time data of each enterprise by the emission reduction index output by the carbon emission training model;
and judging whether the total excess discharge capacity of a plurality of enterprises in the area is lower than the reject ratio, if yes, increasing the emission reduction index, and if no, decreasing the emission reduction index.
2. The carbon emission measurement method according to claim 1, comprising the step of analyzing the emission reduction index according to the emission ratio of each business for the carbon emission index.
3. The carbon emission measurement method according to claim 2, comprising the step of counting emission amounts of each enterprise for different emission types based on the carbon emission history data, the same emission type corresponding to one or more carbon emission indicators, and counting the emission amount duty ratio of each enterprise for each carbon emission indicator, respectively.
4. The carbon emission measurement method according to claim 1, comprising the step of adjusting the emission reduction index according to a ratio of an emission amount or an excess emission amount of each enterprise in the corresponding region.
5. A carbon emission metering device, characterized by comprising:
a memory for storing one or more programs;
a processor;
the method of any of claims 1-4 is implemented when the one or more programs are executed by the processor.
6. A carbon metering system, characterized by being realized based on the method of any one of claims 1-4.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111898873A (en) * | 2020-07-10 | 2020-11-06 | 贵州万峰电力股份有限公司 | Group company carbon emission early warning information system and early warning method thereof |
| CN114707949A (en) * | 2022-03-11 | 2022-07-05 | 北京航天智造科技发展有限公司 | Carbon emission management system and method based on edge gateway |
| CN114819648A (en) * | 2022-04-24 | 2022-07-29 | 咏恒科技(北京)有限公司 | Block chain-based carbon emission control method and device, electronic equipment and medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111898873A (en) * | 2020-07-10 | 2020-11-06 | 贵州万峰电力股份有限公司 | Group company carbon emission early warning information system and early warning method thereof |
| CN114707949A (en) * | 2022-03-11 | 2022-07-05 | 北京航天智造科技发展有限公司 | Carbon emission management system and method based on edge gateway |
| CN114819648A (en) * | 2022-04-24 | 2022-07-29 | 咏恒科技(北京)有限公司 | Block chain-based carbon emission control method and device, electronic equipment and medium |
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