CN117314130A - Carbon emission management method, electronic device, and storage medium - Google Patents

Carbon emission management method, electronic device, and storage medium Download PDF

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CN117314130A
CN117314130A CN202311612554.2A CN202311612554A CN117314130A CN 117314130 A CN117314130 A CN 117314130A CN 202311612554 A CN202311612554 A CN 202311612554A CN 117314130 A CN117314130 A CN 117314130A
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carbon
time
data
carbon emission
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渠立孝
谢书鸿
时宗胜
薛驰
季浩
宁龙
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Jiangsu Zhongtian Internet Technology Co ltd
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Jiangsu Zhongtian Internet Technology Co ltd
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Abstract

The application provides a carbon emission management method, electronic equipment and storage medium, wherein the method comprises the following steps: obtaining a standard carbon emission amount preset in each stage in a full period; receiving stage carbon number data of any stage; determining an enterprise factor library and factor coefficients in the enterprise factor library based on the carbon number data of any stage and the identification carried by the carbon number data of any stage; obtaining the stage carbon emission of any stage according to the carbon emission data of any stage and the factor coefficient; if the stage carbon emission is greater than or equal to the standard carbon emission, calculating an excess of the standard carbon emission and the stage carbon emission; based on the superscalar, the standard carbon emissions for at least one stage not executed during the full cycle are updated. The method can improve the efficiency of making the carbon emission reduction scheme.

Description

Carbon emission management method, electronic device, and storage medium
Technical Field
The present application relates to the field of energy conservation and environmental protection, and in particular, to a method for managing carbon emission, an electronic device, and a storage medium.
Background
Carbon emissions are short for greenhouse gas emissions, and in enterprises, carbon emissions are reduced to reduce carbon emissions of a plurality of nodes in a supply chain, including low-carbon design, low-carbon manufacture, low-carbon transportation, low-carbon use and the like, and at present, analysis of carbon emissions is generally performed after the whole life cycle is finished, and the carbon emissions in the whole life cycle are analyzed to make an emission reduction plan, but on one hand, due to the fact that manufacture and use of products involve suppliers, manufacturers, logistics enterprises, users and the like, analysis of the carbon emissions in the manufacture and use periods of the products is difficult, a reasonable optimization scheme is difficult to be given, and on the other hand, due to the fact that the whole life cycle is long, the time cost is high, a reasonable emission reduction scheme cannot be given timely.
Disclosure of Invention
The embodiment of the application discloses a management method of carbon emission, electronic equipment and a storage medium, which solve the technical problem that an emission reduction scheme cannot be formulated in time.
The present application provides a method of managing carbon emissions, the method comprising: obtaining a standard carbon emission amount preset in each stage in a full period; receiving stage carbon number data of any stage; determining an enterprise factor library and factor coefficients in the enterprise factor library based on the carbon number data of any stage and the identification carried by the carbon number data of any stage; obtaining the stage carbon emission of any stage according to the carbon emission data of any stage and the factor coefficient; if the stage carbon emission is greater than or equal to the standard carbon emission, calculating an excess of the standard carbon emission and the stage carbon emission; based on the superscalar, the standard carbon emissions for at least one stage not executed during the full cycle are updated.
In some embodiments of the present application, the receiving the phase carbon number data of any phase includes: acquiring carbon emission data at each moment based on the acquisition time period of the carbon emission data at the stage; and obtaining the stage carbon number data based on the carbon number data at each moment.
In some embodiments of the present application, the method further comprises: if the carbon number data are not acquired at any moment, determining that a missing value exists; acquiring a plurality of moments when carbon data are not acquired; acquiring critical time of the plurality of moments based on the time sequence of acquiring the carbon bank data; acquiring a first time and a second time adjacent to the critical time, wherein the first time and the second time are the time when carbon bank data are acquired, and the second time is later than the first time; and calculating the missing value based on the carbon number data acquired at the first time and the second time.
In some embodiments of the present application, the calculating the missing value based on the carbon emission data acquired at the first time and the second time includes: acquiring the initial moment of acquiring the carbon bank data of the stage; acquiring first data collected cumulatively from the initial time to the first time; acquiring second data cumulatively acquired from the initial time to the second time; and calculating the difference value between the first data and the second data to obtain the missing value.
In some embodiments of the present application, the acquiring the critical time of the plurality of moments based on the time sequence of acquiring the carbon emission data includes: and taking the smallest time and the largest time in the multiple times as the critical time based on the time sequence.
In some embodiments of the present application, the updating the standard carbon emissions for at least one stage not performed during the full cycle based on the superscalar comprises: calculating a first difference between the superscalar amount and a standard carbon emission amount at any stage not performed in the full cycle; and taking the first difference value as the standard carbon emission amount updated in any stage which is not executed in the whole period.
In some embodiments of the present application, the method further comprises: acquiring the number of unexecuted stages; calculating a mean value based on the number and the superscalar; calculating a second difference value corresponding to each stage based on the average value and the standard carbon emission corresponding to each stage which is not executed; and obtaining the updated standard carbon emission of the corresponding stage based on the second difference value corresponding to each stage.
In some embodiments of the present application, the method further comprises: calculating the real-time carbon emission of any stage in real time; and if the real-time carbon emission is greater than or equal to the early warning value, sending out an early warning prompt.
The application also provides an electronic device comprising a processor and a memory, wherein the processor is used for realizing the carbon emission management method when executing the computer program stored in the memory.
The present application also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method of managing carbon emissions.
In the carbon emission management method provided by the application, the standard carbon emission preset in each stage in the whole period is acquired, and a measurement standard is provided for the data acquired subsequently. And receiving the stage carbon emission data of any stage, determining the factor coefficient corresponding to the enterprise factor library and the enterprise factor library, and obtaining the stage carbon emission of any stage according to the stage carbon emission data and the factor coefficient, so that the factor coefficient can be selected from the enterprise factor library, and the calculation efficiency and accuracy can be improved to a certain extent. If the stage carbon emission is greater than or equal to the standard carbon emission, calculating the standard carbon emission and the standard exceeding amount of the stage carbon emission, updating the standard carbon emission of at least one stage which is not executed in the whole period based on the standard exceeding amount, updating the standard carbon emission of the stage which is not executed according to the stage carbon emission in time, reducing the standard exceeding amount of the whole period, even ensuring that the standard exceeding amount of the whole period is not exceeded, and improving the analysis efficiency of the carbon emission of the whole period to a certain extent.
Drawings
Fig. 1 is a schematic view of an application scenario of a method for managing carbon emission provided in an embodiment of the present application.
Fig. 2 is a flowchart of a method of managing carbon emission amount provided in an embodiment of the present application.
Fig. 3 is a flowchart of a method of managing carbon emission amount provided in an embodiment of the present application.
Detailed Description
For ease of understanding, a description of some of the concepts related to the embodiments of the present application are given by way of example for reference.
It should be noted that "at least one" in this application means one or more, and "a plurality" means two or more. "and/or", describes an association relationship of an association object, and the representation may have three relationships, for example, a and/or B may represent: a alone, a and B together, and B alone, wherein a, B may be singular or plural. The terms "first," "second," "third," "fourth" and the like in the description and in the claims and drawings, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order.
Carbon emissions are short for greenhouse gas emissions, and in enterprises, carbon emissions are reduced to reduce carbon emissions of a plurality of nodes in a supply chain, including low-carbon design, low-carbon manufacture, low-carbon transportation, low-carbon use and the like, and at present, analysis of carbon emissions is generally performed after the whole life cycle is finished, and the carbon emissions in the whole life cycle are analyzed to make an emission reduction plan, but on one hand, due to the fact that manufacture and use of products involve suppliers, manufacturers, logistics enterprises, users and the like, analysis of the carbon emissions in the manufacture and use periods of the products is difficult, a reasonable optimization scheme is difficult to be given, and on the other hand, due to the fact that the whole life cycle is long, the time cost is high, a reasonable optimization scheme cannot be given timely.
In order to solve the technical problem that an emission reduction scheme cannot be formulated in time, the carbon emission management method, the electronic device and the storage medium provided by the embodiment of the application are applied to the electronic device, and the structure of the electronic device is described below.
Fig. 1 is a schematic view of an application scenario of a method for managing carbon emission provided in an embodiment of the present application. As shown in fig. 1, the electronic device 10 is connected to a target device 20, where the target device 20 may be a sensor for collecting data (e.g., phase carbon emission data, real-time carbon emission data, etc.), and the target device 20 may be a storage device for storing the collected data (e.g., phase carbon emission data, real-time carbon emission data, etc.).
The electronic device 10 may include a communication module 101, a memory 102, a processor 103, an Input/Output (I/O) interface 104, and a bus 105. The processor 103 is coupled to the communication interface 101, the memory 102, and the I/O interface 104, respectively, by a bus 105.
The electronic device 10 may be a tablet computer, a notebook computer, or a netbook, and the embodiment of the present application does not limit the specific type of the electronic device.
The communication module 101 may include a wired communication module and/or a wireless communication module. The wired communication module may provide one or more of a universal serial bus (Universal Serial Bus, USB), controller area network bus (CAN, controller Area Network), etc. wired communication solution. The wireless communication module may provide one or more of wireless communication solutions such as wireless fidelity (Wireless Fidelity, wi-Fi), bluetooth (BT), mobile communication networks, frequency modulation (Frequency Modulation, FM), near field wireless communication technology (Near Field Communication, NFC), infrared technology (IR), etc.
The Memory 102 may include one or more random access memories (Random Access Memory, RAM) and one or more Non-volatile memories (NVM). The random access memory may be directly read from and written to by the processor 103, may be used to store an operating system or other executable program of a running program, may also be used to store data of users and applications, and the like. The Random access Memory may include Static Random-access Memory (SRAM), dynamic Random-access Memory (Dynamic Random Access Memory, DRAM), synchronous dynamic Random-access Memory (Synchronous Dynamic Random Access Memory, SDRAM), double data rate synchronous dynamic Random-access Memory (Double Data Rate Synchronous Dynamic Random Access Memory, DDR SDRAM), etc.
The nonvolatile memory may store executable programs, store data of users and applications, and the like, and may be loaded into the random access memory in advance for the processor 110 to directly read and write. The nonvolatile memory may include a disk storage device, a flash memory (flash memory).
The memory 102 is used to store one or more computer programs. One or more computer programs are configured to be executed by the processor 103. The one or more computer programs include a plurality of instructions that when executed by the processor 103, implement a method of managing carbon emissions executing on the electronic device 10.
In other embodiments, the electronic device 10 further includes an external memory interface for connecting to an external memory to enable expansion of the memory capabilities of the electronic device 10.
The processor 103 may include one or more processing units, such as: the processor 103 may include an application processor (application processor, AP), a modem processor, a controller, a digital signal processor (digital signal processor, DSP), a baseband processor, and/or a neural-Network Processor (NPU), etc. Wherein the different processing units may be separate devices or may be integrated in one or more processors.
The processor 103 provides computing and control capabilities, for example, the processor 103 is configured to execute computer programs stored in the memory 102 to implement the carbon emission management methods described above.
The I/O interface 104 is used to provide a channel for user input or output, e.g., the I/O interface 104 may be used to connect various input/output devices, e.g., a mouse, keyboard, touch device, display screen, etc., so that a user may enter information, or visualize information.
The bus 105 is used at least to provide a pathway for communication between the communication module 101, the memory 102, the processor 103, and the I/O interface 104 in the electronic device 10.
It should be understood that the illustrated structure of the present embodiment does not constitute a specific limitation on the electronic device 10. In other embodiments of the present application, the electronic device 10 may include more or fewer components than shown, or certain components may be combined, or certain components may be split, or different arrangements of components. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.
In order to solve the above-mentioned problems, referring to fig. 2, fig. 2 is a flowchart of a method for managing carbon emissions provided in an embodiment of the present application, which is applied to an electronic device (e.g., the electronic device 10 of fig. 1). The order of the steps in the flowchart may be changed and some steps may be omitted according to various needs.
Step S201, obtaining a standard carbon emission amount preset in each stage in the whole cycle.
In some embodiments of the present application, a full cycle refers to a lifecycle of a product (e.g., a refrigerator) that includes multiple stages, such as a raw material stage, a manufacturing stage, a logistics stage, a use stage, and a recycling stage, within the lifecycle. The raw material stage refers to parts, packaging materials and the like for manufacturing products, the manufacturing stage refers to a process of processing the parts by adopting a preset technological process, the logistics stage refers to a process of conveying the products, the use stage refers to a process of using by a user, and the recovery stage refers to a process of scrapping the products.
In an example, taking a refrigerator as an example, the raw material stage refers to parts for producing the refrigerator, raw materials for producing the parts, and the like, the manufacturing stage refers to a process flow for manufacturing the refrigerator, the parts are assembled and manufactured, the logistics stage can include a process of transporting the refrigerator from a factory to a merchant and a process of transporting the refrigerator from the merchant to a user, the use stage can be a process of using the refrigerator by the user, and the recovery stage can be a process of entering into recovery after the refrigerator is scrapped.
In some embodiments of the present application, each stage in the full cycle is pre-set with a corresponding standard carbon emission amount that is used to evaluate whether the carbon emission of the corresponding stage exceeds a standard. The total carbon emission of the whole cycle refers to the sum of standard carbon emissions of all stages, for example, the total carbon emission includes standard carbon emissions corresponding to a raw material stage, a manufacturing stage, a logistics stage, a use stage, and a recovery stage, respectively, and in one example, the total carbon emission of the refrigerator refers to the sum of carbon emission data generated from a raw material to recovery process. The standard carbon emission and the total carbon emission can be set in a standard range according to actual requirements, and the application is not limited.
Step S202, receiving the stage carbon emission data of any stage.
In some embodiments of the application, the electronic device may be a user's terminal device, and may be installed in a factory for collecting or processing received data, such as stage carbon dioxide data for any stage including any one of a raw material stage, a manufacturing stage, a logistics stage, a use stage, and a recycling stage.
In an example, the electronic device may be communicatively connected to a sensor for collecting the phase carbon emission data, and receive the phase carbon emission data collected by the sensor, where when the electronic device receives the phase carbon emission data transmitted by the sensor, the electronic device may determine, by identifying an identifier carried by the phase carbon emission data, a phase of a full cycle to which the data belongs. And acquiring carbon emission data at each moment based on the acquisition time period of the phase carbon emission data, and acquiring the phase carbon emission data based on the carbon emission data at each moment.
In another example, the electronic device may include a detection means for collecting the phase carbon emission data. In yet another example, the electronic device may have a storage device external to it, receive the staged carbon-emission data uploaded from the storage device, which may be a device used by the user to store the collected staged carbon-emission data. The method for acquiring the stage carbon skeleton data is not limited.
In some embodiments of the present application, the stage carbon dioxide data may be data collected at any one of a feedstock stage, a manufacturing stage, a logistics stage, a use stage, and a recovery stage.
In one example, the stage carbon dioxide data corresponding to the feedstock stage may be the number of parts the product contains, the number of parts packaging materials, the recovery rate of the corresponding parts-making materials, and so forth. The stage carbon dioxide data corresponding to the manufacturing stage may be the amount of waste during the manufacture of the product, the emission factor of the waste, the greenhouse gases during processing, the number of all devices contained in the product, etc. The carbon number data of the corresponding stage of the logistics stage can be the number of different types of transportation modes of the product, the number of manufacturing materials, parts and the like in the transportation process, the transportation distance and the like. The phase carbon emission data corresponding to the use phase can be electric power in a use mode, the use time of the product in the service life, the electric power consumed by the product in the maintenance process, the estimated value of direct greenhouse gas in the use process of the product and the like. The stage carbon dioxide data corresponding to the recovery stage may be the amount of waste treatment during product processing, the amount of energy consumed during coarse product grain processing.
Step S203, determining the factor coefficient in the enterprise factor library and the factor coefficient in the enterprise factor library based on the carbon number data of any stage and the identification carried by the carbon number data of any stage.
In some embodiments of the present application, in order to improve the efficiency and accuracy of the calculation, a plurality of enterprise factor libraries may be preset in the electronic device, or corresponding enterprise factor libraries may be set according to the needs of the enterprise. The enterprise factor library may be selected from a plurality of industry factor libraries in the standard factor library, where the enterprise factor library includes factor coefficients provided by corresponding industries, for example, if a business of the enterprise belongs to an energy industry, the enterprise factor library may select an industry factor library corresponding to the energy industry.
In some embodiments of the present application, after the electronic device determines an industry factor library required by an enterprise from a plurality of enterprise factor libraries, in order to reduce data size, factor coefficients in the industry factor library may be screened according to enterprise requirements, to obtain an enterprise factor library constructed by the factor coefficients required by the enterprise. The enterprise can also increase new factor coefficients in the enterprise factor library according to enterprise demands, wherein the new factor coefficients can be calculated by adopting a preset algorithm, the calculated new factor coefficients are sent to a preset server for auditing, and when the auditing is passed, the new factor coefficients can be increased into the enterprise factor library, so that the calculation efficiency of the enterprise carbon emission can be improved to a certain extent.
In some embodiments of the present application, a new factor coefficient may be calculated by using a preset algorithm, for example, a factor coefficient corresponding to carbon dioxide=carbon dioxide emission/energy consumption, where carbon dioxide emission refers to carbon dioxide emission generated during combustion or use of energy, and energy consumption refers to a total amount of energy consumed during use, and is generally expressed in kilograms (kg) or tons (t).
The preset algorithm may be adjusted for different energy types and different industry calculation standards. For example, for certain specific fuels or plants, it may be desirable to consider their specific carbon emission factors. Furthermore, in some cases, it may be desirable to consider the effects of other factors, such as the efficiency of the device, the time of use, etc. In the calculation process, industry standards and rules can be combined for calculation so as to improve accuracy.
In the embodiment of the application, the factor coefficient can be obtained through the constructed enterprise factor library, so that on one hand, the data volume which needs to be traversed when inquiring the factor coefficient can be reduced, on the other hand, the factor coefficient which is more fit with an enterprise can be obtained, the universal factor coefficient is abandoned, and the accuracy of calculating the carbon emission can be improved to a certain extent.
In some embodiments of the present application, when the electronic device obtains carbon emission data of any stage, the electronic device may obtain an identifier carried by the carbon emission data of any stage, where the identifier may be an industrial internet identifier, and the electronic device may determine, by identifying the identifier, a stage and a data type to which the carbon emission data of any stage belongs, and may determine, according to the stage and the data type, a factor coefficient in a corresponding enterprise factor library and an enterprise factor library.
Step S204, obtaining the stage carbon emission of any stage according to the carbon emission data and the factor coefficient of any stage.
In some embodiments of the present application, the stage carbon emission amount of any stage = any stage carbon emission data x factor coefficient, wherein any stage may be any one of a feedstock stage, a manufacturing stage, a logistics stage, a use stage, and a recovery stage.
In some embodiments of the present application, before the stage is not finished, the real-time carbon emission amount of any stage may be calculated in real time, and if the real-time carbon emission amount is greater than or equal to the early warning value, an early warning prompt is sent out, so that a user can check in time to determine whether adjustment is required.
In step S205, if the stage carbon emission is greater than or equal to the standard carbon emission, an excess of the standard carbon emission and the stage carbon emission is calculated.
In some embodiments of the present application, if the stage carbon emissions are greater than or equal to the standard carbon emissions, then this stage is indicated to exceed the preset standard carbon emissions. Superscalar = standard carbon emissions-stage carbon emissions.
Step S206, updating the standard carbon emission amount of at least one stage not executed in the full cycle based on the superscalar.
In some embodiments of the present application, since the full cycle is performed on a time-sequential basis, if the stage for which the superscalar is calculated is a raw material stage, at least one stage that is not performed during the full cycle includes a manufacturing stage, a logistics stage, a use stage, and a recycling stage. If the stage for which the superscalar is calculated is the manufacturing stage, at least one stage that is not performed during the full cycle includes a logistics stage, a use stage, and a recycling stage.
In some embodiments of the present application, the first difference may be calculated for any one stage if there are multiple stages that are not performed. And calculating a first difference value between the superscalar and the standard carbon emission of any stage which is not executed in the whole period, and taking the first difference value as the updated standard carbon emission of any stage which is not executed in the whole period. For example, the superscalar is the excess carbon emissions of the feed stage, and the superscalar is 1%, assuming that any stage is a stream stage, the initial standard carbon emissions for the stream stage is 10%, the first difference is 9%, meaning that the standard carbon emissions for the stream stage is reduced from 10% to 9%. The above is merely an example, and the practical application is not limited thereto.
In some embodiments of the present application, if there are multiple stages that are not performed, the second difference may be calculated for each of the multiple stages. The number of unexecuted stages is obtained, the average value is calculated based on the number and the exceeding amount, the second difference value corresponding to each stage is calculated based on the average value and the standard carbon emission corresponding to each unexecuted stage, and the standard carbon emission after updating of the corresponding stage is obtained based on the second difference value corresponding to each stage.
In one example, the superscalar of the feed stage is calculated to be 8%, the number of unexecuted stages is 4, the average value=0.08/4=0.02, the second difference is 18% if the initial standard carbon emission amount of the production stage is 20%, the carbon emission amount after the update of the production stage is 18%, the second difference is 18% if the initial standard carbon emission amount of the logistics stage is 20%, the standard carbon emission amount after the update of the logistics stage is 18%, the second difference is 18% if the initial standard carbon emission amount of the use stage is 20%, the standard carbon emission amount after the update of the use stage is 18%, the second difference is 28% if the initial standard carbon emission amount of the recovery stage is 30%, and the standard carbon emission amount after the update of the recovery stage is 28%.
In some embodiments of the present application, the standard carbon emissions for at least one stage that is not performed during the full cycle may not be adjusted if the stage carbon emissions are less than the standard carbon emissions.
In the embodiment of the present application, the standard carbon emission amount preset for each stage in the full cycle is acquired so as to evaluate the carbon emission amount for each cycle, so that the carbon emission amount for each stage is maintained within the range of the total carbon emission amount for the full cycle. And determining factor coefficients in the enterprise factor library and the enterprise factor library based on the received carbon emission data of any stage, so that the stage carbon emission is calculated according to the factor coefficients and the carbon emission data, if the stage carbon emission is greater than or equal to the standard carbon emission, the standard carbon emission and the exceeding amount of the stage carbon emission are calculated, the standard carbon emission of at least one stage which is not executed in the whole period is updated based on the exceeding amount, the carbon emission of each stage can be monitored in real time, and the standard carbon emission of at least one stage which is not executed can be reduced based on the exceeding amount, thereby maintaining that the total carbon emission of the whole period is not exceeding, achieving the purposes of energy conservation and environmental protection to a certain extent, analyzing the data of the product when the whole period is ended, improving the analysis efficiency, solving the technical problem of lower analysis efficiency of the carbon emission, and directly making an emission reduction plan according to the analysis result.
Fig. 3 is a flowchart of a method for managing carbon emissions according to another embodiment of the present application, as shown in fig. 3, when the electronic device receives carbon emission data at any stage, it may check whether there is a missing value, and if there is a missing value, it may calculate the missing value by using the embodiment shown in fig. 3, including the following steps:
step S301, if no carbon bank data is acquired at any time, determining that a missing value exists.
In some embodiments of the present application, the missing value refers to that the value of a certain attribute or certain attributes in the existing data set is incomplete, for example, in the process of collecting the energy consumption data of a product in real time, the smart meter cannot completely collect the data of the product in the production process due to power failure, for example, power failure occurs during the period of 2:35-2:40, and the energy consumption data in the period of 2:35-2:40 cannot be obtained from the smart meter, so that the energy consumption data is missing.
In some embodiments of the present application, the carbon deposit data may be collected during a specified period of time, where the carbon deposit data should be collected at each time during the specified period of time, and if the carbon deposit data is not collected at any time during the specified period of time, determining that there is a missing value.
In step S302, a plurality of moments when carbon data is not acquired are acquired.
In some embodiments of the present application, if there is a missing value, a plurality of times corresponding to the carbon number data not acquired may be acquired, and in an example, assuming that the designated time period is 2:00-3:00, it is determined that the carbon number data is not acquired in the interval of 2:35-2:40, a plurality of times within 2:35-2:40 are acquired.
In step S303, critical time at a plurality of moments is obtained based on the time sequence of collecting the carbon data.
In some embodiments of the present application, based on the time sequence, the smallest time and the largest time in the multiple times are taken as critical times, for example, the multiple times are multiple time points in a time period of 2:35 to 2:40, and then 2:35 and 2:40 are taken as critical times.
Step S304, a first time and a second time adjacent to the critical time are obtained.
In some embodiments of the present application, after the critical time is determined, a first time and a second time adjacent to the critical time may be determined according to the critical time, where the first time and the second time are moments when carbon emission data is collected, and the second time is later than the first time.
In an example, the time points are time points within a time period of 2:35-2:40, and the critical time is 2:35 and 2:40, and the first time may be 2:34 and the second time may be 2:41.
In step S305, a missing value is calculated based on the carbon emission data collected at the first time and the second time.
In some embodiments of the present application, since the carbon number data is continuously collected, the electronic device accumulates based on time as the carbon number data is received. Acquiring initial time of carbon bank data in an acquisition stage, acquiring first data accumulated and acquired from the initial time to first time, acquiring second data accumulated and acquired from the initial time to second time, and calculating a difference value between the first data and the second data to obtain a missing value.
In an example, assuming that the specified time period is 2:00-3:00, the first time is 2:34, and the second time is 2:41, the initial time is 2:00, acquiring the first data collected from the initial time to the first time in a cumulative manner may be collecting the data from the time period of 2:00-2:34, acquiring the second data collected from the initial time to the second time in a cumulative manner may be collecting the data from the time period of 2:00-2:41, and the missing value=the second data-the first data.
In other embodiments of the present application, after determining that the missing value exists, the data collected in the same time interval may be obtained based on the critical time, for example, the critical time is 2:35, the missing value time period is 2:35-2:40, and the data collected in the missing value time period is 2:30-2:35 is taken as the missing value when the missing value is 5 minutes. Likewise, data collected at a ratio of 2:40 to 2:45 can be obtained as missing values.
In other embodiments of the present application, it is also possible to acquire data of the same period of time as when there is a missing value from the relevant historical data, and take the data as the missing value. For example, the missing value is determined to exist in the 2:35-2:40 of the number 20, and if the associated data exists in the number 19, the data acquired in the 2:35-2:40 time period of the number 19 can be used as the missing value. The related data may be data generated by a working process executed by the same process flow of the same batch of products, and the same time period may be any one of historical days, which is not limited in the application.
In the embodiment of the application, the missing value can be calculated when the missing value is determined to exist, the carbon emission is calculated by adopting complete data, the calculation accuracy is ensured, and the calculation error of the carbon emission in the stage is reduced.
Embodiments of the present application further provide a computer readable storage medium, where a computer program is stored, where the computer program includes program instructions, and a method implemented when the program instructions are executed may refer to a method in the foregoing embodiments of the present application.
The computer readable storage medium may be an internal memory of the electronic device according to the above embodiment, for example, a hard disk or a memory of the electronic device. The computer readable storage medium may also be an external storage device of the electronic device, for example, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the electronic device.
In some embodiments, the computer readable storage medium may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created according to the use of the electronic device, etc.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other manners. For example, the apparatus/terminal device embodiments described above are merely illustrative, e.g., the division of the modules or units is merely a logical function division, and there may be additional divisions in actual implementation, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection via interfaces, devices or units, which may be in electrical, mechanical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
The above embodiments are only for illustrating the technical solution of the present application, and are not limiting; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application.

Claims (10)

1. A method of managing carbon emissions, the method comprising:
obtaining a standard carbon emission amount preset in each stage in a full period;
receiving stage carbon number data of any stage;
determining an enterprise factor library and factor coefficients in the enterprise factor library based on the carbon number data of any stage and the identification carried by the carbon number data of any stage;
obtaining the stage carbon emission of any stage according to the carbon emission data of any stage and the factor coefficient;
if the stage carbon emission is greater than or equal to the standard carbon emission, calculating an excess of the standard carbon emission and the stage carbon emission;
based on the superscalar, the standard carbon emissions for at least one stage not executed during the full cycle are updated.
2. The method of claim 1, wherein the receiving the phase carbon dioxide data of any phase comprises:
acquiring carbon emission data at each moment based on the acquisition time period of the carbon emission data at the stage;
and obtaining the stage carbon number data based on the carbon number data at each moment.
3. The method of managing carbon emissions of claim 2, further comprising:
if the carbon number data are not acquired at any moment, determining that a missing value exists;
acquiring a plurality of moments when carbon data are not acquired;
acquiring critical time of the plurality of moments based on the time sequence of acquiring the carbon bank data;
acquiring a first time and a second time adjacent to the critical time, wherein the first time and the second time are the time when carbon bank data are acquired, and the second time is later than the first time;
and calculating the missing value based on the carbon number data acquired at the first time and the second time.
4. The method of claim 3, wherein calculating the missing value based on the carbon emission data collected at the first time and the second time comprises:
acquiring the initial moment of acquiring the carbon bank data of the stage;
acquiring first data collected cumulatively from the initial time to the first time;
acquiring second data cumulatively acquired from the initial time to the second time;
and calculating the difference value between the first data and the second data to obtain the missing value.
5. The method of claim 3, wherein the acquiring critical time for the plurality of moments based on the time sequence in which the carbon emission data is acquired comprises:
and taking the smallest time and the largest time in the multiple times as the critical time based on the time sequence.
6. The method of managing carbon emissions of claim 1, wherein the updating the standard carbon emissions of at least one stage not performed in the full cycle based on the superscalar comprises:
calculating a first difference between the superscalar amount and a standard carbon emission amount at any stage not performed in the full cycle;
and taking the first difference value as the standard carbon emission amount updated in any stage which is not executed in the whole period.
7. The method of managing carbon emissions of claim 1, further comprising:
acquiring the number of unexecuted stages;
calculating a mean value based on the number and the superscalar;
calculating a second difference value corresponding to each stage based on the average value and the standard carbon emission corresponding to each stage which is not executed;
and obtaining the updated standard carbon emission of the corresponding stage based on the second difference value corresponding to each stage.
8. The method of managing carbon emissions of claim 1, further comprising:
calculating the real-time carbon emission of any stage in real time;
and if the real-time carbon emission is greater than or equal to the early warning value, sending out an early warning prompt.
9. An electronic device comprising a processor and a memory, the processor being configured to execute a computer program stored in the memory to implement the method of managing carbon emissions according to any one of claims 1 to 8.
10. A computer-readable storage medium storing at least one instruction that when executed by a processor implements the method of managing carbon emissions according to any one of claims 1 to 8.
CN202311612554.2A 2023-11-29 2023-11-29 Carbon emission management method, electronic device, and storage medium Pending CN117314130A (en)

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