CN116258283A - Carbon footprint calculation method and system based on chemical products - Google Patents
Carbon footprint calculation method and system based on chemical products Download PDFInfo
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Abstract
The application provides a carbon footprint calculation method and system based on chemical products, wherein the method comprises the following steps: acquiring carbon footprint associated information corresponding to the chemical product according to a chemical product carbon footprint calculation task; acquiring carbon footprint calculation parameters of the carbon emission source through an edge data acquisition node according to the carbon emission source in the carbon footprint associated information; responding to completion of collection of all carbon footprint calculation parameters of the chemical product, and matching a task for the carbon footprint calculation of the chemical product with a server; and receiving the carbon footprint calculation parameters of the chemical product by using the matched server, and calculating the carbon footprint value of the chemical product according to the carbon footprint calculation parameters. According to the method, quantitative calculation of the carbon footprint is realized, and the calculation complexity of the carbon footprint of the chemical product is reduced; and a proper server is matched for the chemical product carbon footprint calculation task, so that resource waste or low data processing efficiency is avoided.
Description
Technical Field
The application relates to the technical field of data processing, in particular to a carbon footprint calculation method and system based on chemical products.
Background
The carbon footprint of a chemical product refers to the total amount of greenhouse gases directly or indirectly emitted by the product during the whole life cycle of raw material acquisition, manufacture, transportation, sales and the like. The chemical products are always indispensable parts of human life, and have various types and complex processes, and the environmental and human health are affected due to various types and large quantity of pollutants discharged in the production process. How to account for carbon emissions that they produce during production is critical to establish a corresponding abatement scheme.
Currently, the carbon footprint of chemical products involves suppliers, manufacturers, logistics enterprises and users, resulting in difficulty in quantitative calculation and analysis of the carbon footprint. In addition, matching of a proper server for the calculation task of the carbon footprint of the chemical product is not realized in the prior art, so that resource waste or low data processing efficiency is caused.
Therefore, the technical problems to be solved are: how to realize the quantitative calculation of the carbon footprint, and reduce the calculation complexity of the carbon footprint of the chemical product; and a proper server is matched for the chemical product carbon footprint calculation task, so that resource waste or low data processing efficiency is avoided.
Disclosure of Invention
The purpose of the application is to provide a carbon footprint calculation method and a system based on chemical products, so as to realize quantitative calculation of carbon footprints and reduce the calculation complexity of the carbon footprints of the chemical products; and a proper server is matched for the chemical product carbon footprint calculation task, so that resource waste or low data processing efficiency is avoided.
To achieve the above object, as a first aspect of the present application, the present application provides a chemical product-based carbon footprint calculation method, the method comprising the steps of: acquiring carbon footprint associated information corresponding to the chemical product according to a chemical product carbon footprint calculation task; acquiring carbon footprint calculation parameters of the carbon emission source through an edge data acquisition node according to the carbon emission source in the carbon footprint associated information; responding to completion of collection of all carbon footprint calculation parameters of the chemical product, and matching a task for the carbon footprint calculation of the chemical product with a server; receiving the carbon footprint calculation parameters of the chemical product by using the matched server, and calculating the carbon footprint value of the chemical product according to the carbon footprint calculation parameters; the carbon footprint associated information comprises a carbon footprint calculation boundary of a preset chemical product and a carbon emission source associated with the chemical product.
The chemical product-based carbon footprint calculation method as described above, wherein the method further comprises the steps of: and comparing the carbon footprint value of the chemical product with a preset safety threshold value, if the carbon footprint value of the chemical product is larger than the preset safety threshold value, optimizing the carbon footprint of the chemical product, otherwise, not needing to optimize the carbon footprint of the chemical product.
According to the chemical product-based carbon footprint calculation method, the identification of the chemical product is obtained according to the chemical product carbon footprint calculation task, and the carbon footprint associated information corresponding to the chemical product is obtained according to the identification of the chemical product.
The carbon footprint calculation method based on the chemical product, wherein the method for calculating the task matching server for the chemical product carbon footprint comprises the following steps: acquiring the residual service resource characteristic data of a working server and the demand characteristic data of a chemical product carbon footprint calculation task; calculating a matching value of the server and the chemical product carbon footprint calculation task according to the residual service resource characteristic data and the demand characteristic data of the chemical product carbon footprint calculation task; if the matching value of the server and the chemical product carbon footprint calculation task is larger than a preset threshold, the server is matched with the chemical product carbon footprint calculation task, otherwise, the server is not matched with the chemical product carbon footprint calculation task.
According to the chemical product-based carbon footprint calculation method, if all the servers in operation are not matched with the chemical product carbon footprint calculation task, a new server is started to be matched with the chemical product carbon footprint calculation task.
The method for calculating the carbon footprint based on the chemical product, which is described above, uses the matched server to receive the carbon footprint calculation parameters of the chemical product, and calculates the carbon footprint value of the chemical product according to the carbon footprint calculation parameters, and comprises the following steps: classifying and dividing the carbon footprint calculation parameters of the received chemical products according to the data types required by the subtasks calculated by the carbon footprint values; respectively executing the subtasks of the carbon footprint value calculation according to the classified and divided carbon footprint calculation parameters to obtain the carbon emission of each subtask; and calculating the carbon footprint value of the chemical product according to the carbon emission of each subtask.
According to the chemical product-based carbon footprint calculation method, when the chemical product carbon footprint calculation tasks comprise a plurality of chemical product carbon footprint calculation tasks, the association degree between any two chemical product carbon footprint calculation tasks is calculated according to the edge data acquisition nodes and/or the carbon emission sources corresponding to the chemical product carbon footprint calculation tasks; if the association degree between the two chemical product carbon footprint calculation tasks is larger than a preset association threshold, combining the two chemical product carbon footprint calculation tasks and distributing the two chemical product carbon footprint calculation tasks to the same server for processing.
The carbon footprint calculation method based on the chemical products, wherein the calculation method of the association degree between any two chemical product carbon footprint calculation tasks is as follows:
wherein ,
representing the degree of association between two chemical product carbon footprint calculation tasks; />
Representing a correlation factor between two chemical products; if two chemical products are the same, the formula ∈ ->
The method comprises the steps of carrying out a first treatment on the surface of the Otherwise, the method comprises the steps of; />
；/>
Representing the carbon emission source influence weight; />
Representing the influence weight of the edge data acquisition node; />
Representing the number of carbon emission sources of the first chemical product carbon footprint calculation task; />
Representing a number of carbon emissions sources for a second chemical product carbon footprint calculation task;
representing the same number of carbon emission sources for the first chemical product carbon footprint calculation task and the second chemical product carbon footprint calculation task; />
Representing the number of edge data acquisition nodes of a first chemical product carbon footprint calculation task;
representing the number of edge data acquisition nodes of a second chemical product carbon footprint calculation task; />
Representing the same number of edge data acquisition nodes of the first chemical product carbon footprint calculation task and the second chemical product carbon footprint calculation task>
An influence weight representing the distance between the edge data acquisition node of the first chemical product carbon footprint calculation task and the edge data acquisition node of the second chemical product carbon footprint calculation task; />
Representing the maximum allowable limit value of the distance between the edge data acquisition node corresponding to the first chemical product carbon footprint calculation task and the edge data acquisition node corresponding to the second chemical product carbon footprint calculation task; />
And representing the actual maximum distance between the edge data acquisition node corresponding to the first chemical product carbon footprint calculation task and the edge data acquisition node corresponding to the second chemical product carbon footprint calculation task.
As a second aspect of the present application, the present application also provides a chemical product-based carbon footprint calculation system, performing a method as described above, the system comprising: the information acquisition module is used for acquiring carbon footprint associated information corresponding to the chemical product according to the chemical product carbon footprint calculation task; the data acquisition module is used for acquiring carbon footprint calculation parameters of the carbon emission source through the edge data acquisition nodes according to the carbon emission source in the carbon footprint associated information; the matching module is used for responding to completion of collection of all carbon footprint calculation parameters of the chemical product and matching the task for the carbon footprint calculation of the chemical product with the server; and the data processor is used for receiving the carbon footprint calculation parameters of the chemical products by using the matched server and calculating the carbon footprint value of the chemical products according to the carbon footprint calculation parameters.
A chemical product based carbon footprint computing system as described above, wherein the system further comprises: and the data comparator is used for comparing the carbon footprint value of the chemical product with a preset safety threshold value, optimizing the carbon footprint of the chemical product if the carbon footprint value of the chemical product is larger than the preset safety threshold value, and otherwise, not optimizing the carbon footprint of the chemical product.
The beneficial effects realized by the application are as follows:
(1) According to the method and the device, the carbon footprint associated information corresponding to the chemical product is obtained in response to the chemical product carbon footprint calculation task, so that the carbon footprint calculation parameters of the chemical product are obtained according to the carbon footprint associated information, the carbon footprint value of the chemical product is calculated, calculation of the carbon footprint value of a certain chemical product or a certain chemical product is realized, whether the phenomenon of exceeding standard exists is judged according to the calculated carbon footprint value, and basis is provided for optimization of energy conservation and emission reduction in the later period.
(2) The method and the system are used for matching the chemical product carbon footprint calculation tasks with the servers, fully utilize the resources of each server, avoid excessive power consumption during starting up of the servers, indirectly reduce carbon emission, ensure the processing performance of the servers on the chemical product carbon footprint calculation tasks, improve data processing efficiency, and improve the safety of the edge acquisition nodes and server services.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present application, and other drawings may be obtained according to these drawings to those skilled in the art.
FIG. 1 is a flow chart of a chemical product-based carbon footprint calculation method in an embodiment of the present application.
FIG. 2 is a flowchart of a method for computing a task matching server for a carbon footprint of the chemical product, in accordance with an embodiment of the present application.
FIG. 3 is a flowchart of a method for using a matched server to receive carbon footprint calculation parameters of a chemical product and calculate a carbon footprint value of the chemical product according to the carbon footprint calculation parameters in an embodiment of the present application.
FIG. 4 is a schematic diagram of a chemical product-based carbon footprint computing system according to an embodiment of the present application.
Reference numerals: 10-an information acquisition module; 20-a data acquisition module; 30-a matching module; 40-a data processor; a 50-data comparator; 100-carbon footprint computing system.
Detailed Description
The following description of the embodiments of the present application, taken in conjunction with the accompanying drawings, clearly and completely describes the technical solutions of the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
Example 1
As shown in fig. 1, the present application provides a chemical product-based carbon footprint calculation method, which includes the following steps:
step S1, acquiring carbon footprint associated information corresponding to the chemical product according to a chemical product carbon footprint calculation task.
Specifically, in response to the chemical product carbon footprint calculation task, the identification of the chemical product is obtained according to the chemical product carbon footprint calculation task, and further, the corresponding carbon footprint associated information is obtained according to the identification of the chemical product. The chemical product is marked with a unique identifier after leaving the factory, and the identifier can be a two-dimensional code, a bar code or a radio frequency identification tag and the like. The identification is internally associated with carbon footprint associated information thereof.
As a specific embodiment of the invention, the carbon footprint associated information comprises a carbon footprint calculation boundary of a preset chemical product and a carbon emission source associated with the chemical product. The chemical product carbon footprint calculation task is used for calculating the total amount of greenhouse gases directly or indirectly discharged in the whole life cycle process of the chemical product, and also the carbon emission value.
As a specific embodiment of the present invention, the carbon footprint calculation boundaries are: and (3) the production, manufacturing and transportation processes of chemical products in a workshop. Within the carbon footprint calculation boundary, a carbon emission source is determined.
As a specific embodiment of the present invention, the carbon emission source includes: production equipment, transportation equipment, auxiliary production equipment, input limestone and the like required in the production process of chemical products.
And S2, acquiring carbon footprint calculation parameters of the carbon emission sources through an edge data acquisition node according to the carbon emission sources in the carbon footprint association information.
Each chemical product is associated with a plurality of edge data acquisition nodes, the edge data acquisition nodes are used for acquiring carbon footprint calculation parameters of carbon emission sources related to the chemical products, and at least one edge data acquisition node is arranged at each carbon emission source. The edge data collection nodes are, for example: electric power measuring device, heating power measuring device, input material metering device, time-recorder and weight metering device etc..
As a specific embodiment of the present invention, the carbon footprint calculation parameters include: the fuel amount required by the production of chemical products, the transportation parameters of transportation equipment, the input limestone amount and the like.
And step S3, responding to completion of collection of all carbon footprint calculation parameters of the chemical product, and matching the task for the carbon footprint calculation of the chemical product with a server.
In order to fully utilize the resources of each server, avoid excessive power consumption during starting up of the servers, indirectly reduce carbon emission, ensure the processing performance of the servers on the chemical product carbon footprint calculation tasks, and improve the safety of the edge acquisition nodes and the server service, the invention provides a matching server for the chemical product carbon footprint calculation tasks.
As shown in fig. 2, the method for calculating the task matching server for the carbon footprint of the chemical product comprises the following steps:
step S310, obtaining the residual service resource characteristic data of the working server and the demand characteristic data of the chemical product carbon footprint calculation task.
The residual service resource characteristic data of the server comprises CPU non-utilization rate (namely 1-CPU utilization rate), memory residual rate (namely 1-memory occupancy rate), storage space residual rate (namely 1-storage space utilization rate), residual storage space and the like of the server.
The demand characteristic data of the chemical product carbon footprint calculation task comprises: the method comprises the steps of collecting the number of carbon emission sources, the total occupied space of carbon footprint calculation task data, the number of carbon footprint calculation subtasks and the like.
Step S320, calculating a matching value of the server and the chemical product carbon footprint calculation task according to the residual service resource characteristic data and the demand characteristic data of the chemical product carbon footprint calculation task.
As a specific embodiment of the present invention, a resource early-warning value is set for the remaining service resource feature data of the server, where the resource early-warning value includes: the early warning CPU utilization rate, the early warning memory residual rate, the early warning storage space residual rate and the like are used for improving the service performance of the server, and when the residual service resource characteristic data of the server exceeds the early warning CPU utilization rate, the early warning memory residual rate or the early warning storage space residual rate, the service performance of the server is reduced, so that the processing of the chemical product carbon footprint calculation task by the server is not facilitated. For example: the early warning CPU utilization rate is 80%; the residual rate of the early warning memory is 85%; the residual rate of the early warning storage space is 85%; the above data are only used as examples, and specific values such as the use rate of the early warning CPU, the residual rate of the early warning memory, the residual rate of the early warning storage space, etc. are not limited, and are set according to actual situations.
As a specific embodiment of the invention, when the chemical product carbon footprint calculation tasks comprise a plurality of chemical product carbon footprint calculation tasks, the association degree between any two chemical product carbon footprint calculation tasks is calculated according to the edge data acquisition nodes and/or the carbon emission sources corresponding to the chemical product carbon footprint calculation tasks. If the association degree between any two chemical product carbon footprint calculation tasks is larger than a preset association threshold, combining the any two chemical product carbon footprint calculation tasks and distributing the combination to the same server for processing, so that the same edge data acquisition nodes corresponding to the any two chemical product carbon footprint calculation tasks are communicated with the same server as much as possible, and more network link consumption is avoided.
Specifically, the method for calculating the association degree between any two chemical product carbon footprint calculation tasks comprises the following steps:
wherein ,
representing the degree of association between two chemical product carbon footprint calculation tasks; />
Representing a correlation factor between two chemical products; if two chemical products are the same, the formula ∈ ->
The method comprises the steps of carrying out a first treatment on the surface of the Otherwise, the method comprises the steps of; />
；/>
Representing the carbon emission source influence weight; />
Representing edge dataCollecting node influence weights; />
Representing the number of carbon emission sources of the first chemical product carbon footprint calculation task; />
Representing a number of carbon emissions sources for a second chemical product carbon footprint calculation task;
representing the same number of carbon emission sources for the first chemical product carbon footprint calculation task and the second chemical product carbon footprint calculation task; />
Representing the number of edge data acquisition nodes of a first chemical product carbon footprint calculation task;
representing the number of edge data acquisition nodes of a second chemical product carbon footprint calculation task; />
Representing the same number of edge data acquisition nodes of the first chemical product carbon footprint calculation task and the second chemical product carbon footprint calculation task>
An influence weight representing the distance between the edge data acquisition node of the first chemical product carbon footprint calculation task and the edge data acquisition node of the second chemical product carbon footprint calculation task; />
Representing the maximum allowable limit value of the distance between the edge data acquisition node corresponding to the first chemical product carbon footprint calculation task and the edge data acquisition node corresponding to the second chemical product carbon footprint calculation task; />
And representing the actual maximum distance between the edge data acquisition node corresponding to the first chemical product carbon footprint calculation task and the edge data acquisition node corresponding to the second chemical product carbon footprint calculation task.
As a specific embodiment of the invention, if one chemical product carbon footprint calculation task is not divided into a group with other tasks, the matching value of the server and the current chemical product carbon footprint calculation task is calculated. When a plurality of chemical product carbon footprint calculation tasks are combined into a group, a server is matched for the plurality of chemical product carbon footprint calculation tasks at the same time, and matching values of the server and the group of chemical product carbon footprint calculation tasks are calculated.
As a specific embodiment of the invention, when the server matches a matching value of a certain or a certain group of chemical product carbon footprint calculation tasks, the related calculation data is obtained as calculation requirement data of one chemical product carbon footprint calculation task or calculation requirement data of a group of chemical product carbon footprint calculation tasks. For example: when the matching value of the server and a certain chemical product carbon footprint calculation task is calculated, data related to a chemical product (for example, the number of chemical product related edge data acquisition nodes and the total space occupied by chemical product carbon footprint calculation task data) are obtained. When the matching value of the server and a certain group of chemical product carbon footprint calculation tasks is calculated, corresponding data associated with a plurality of chemical products in the group of chemical product carbon footprint calculation tasks (for example, the number of edge data acquisition nodes associated with the group of chemical products and the total space occupied by the group of chemical product carbon footprint calculation task data) are obtained.
As a specific embodiment of the invention, the calculation method of the matching value of the server and the calculation task of the carbon footprint of a certain or a certain group of chemical products is as follows:
wherein ,
representing servicesCalculating the matching value of the task with the carbon footprint of a certain or a certain group of chemical products; />
Representing the number of edge data acquisition nodes associated with a current (certain or a certain group of) chemical product; />
Indicate->
Whether each edge data acquisition node is in the service area of the server, if the position of the current edge data acquisition node belongs to the service area of the server, the current edge data acquisition node is +.>
The method comprises the steps of carrying out a first treatment on the surface of the Otherwise->
；/>
Representing the matching factor of the access equipment, if the number of the edge data acquisition nodes associated with the current (one or a certain group of) chemical products is smaller than the number of the residual accessible equipment of the server, the method comprises the steps of ∈>
The method comprises the steps of carrying out a first treatment on the surface of the Otherwise, go (L)>
；/>
Representing an early warning factor; if the residual service resource characteristic data of any one server exceeds the resource early warning value, the method comprises the steps of +.>
The method comprises the steps of carrying out a first treatment on the surface of the Otherwise, go (L)>
；/>
Representing the total number of types of the remaining service resource characteristic data of the server>
Indicate->
The weight of the residual service resource characteristic data; />
Indicate->
Resource early warning values of the residual service resource characteristic data are obtained; />
Indicate->
Actual measurement values of the residual service resource characteristic data are obtained; />
Representing the residual storage space size influence weight of the server; />
Representing the size of the remaining storage space of the server; />
Representing the total space occupied by the current (a certain group or a certain group of) chemical product carbon footprint calculation task data; />
The influence weight of the residual processing task of the server is represented; />
Representing the number of processing tasks remaining by the server; />
Representing that servers can process in parallelIs a task number of (1); />
Representing the estimated processing time length of the residual processing tasks of the server; />
An impact weight representing the number of current carbon footprint calculation subtasks; />
Representing the current carbon footprint calculation subtask number.
Step S330, if the matching value of the server and the chemical product carbon footprint calculation task is larger than a preset threshold, the server is matched with the chemical product carbon footprint calculation task, otherwise, the server is not matched with the chemical product carbon footprint calculation task, and whether other servers are matched with the chemical product carbon footprint calculation task is judged.
Specifically, if the matching value of the server and the chemical product carbon footprint calculation task is greater than a preset threshold, the server is matched with the chemical product carbon footprint calculation task, the server is allocated to the chemical product carbon footprint calculation task, otherwise, the server is not matched with the chemical product carbon footprint calculation task, and according to the method, whether other servers are matched with the chemical product carbon footprint calculation task is judged, namely, whether other servers are suitable for being allocated to the chemical product carbon footprint calculation task is judged.
In step S340, if all the servers in operation are not matched with the chemical product carbon footprint calculation task, a new server is started to be matched with the chemical product carbon footprint calculation task.
And S4, receiving the carbon footprint calculation parameters of the chemical product by using the matched server, and calculating the carbon footprint value of the chemical product according to the carbon footprint calculation parameters.
As a specific embodiment of the invention, the edge data acquisition node sends the acquired data to a server matched with the edge data acquisition node through a gateway, the server receives the data (carbon footprint calculation parameters of the chemical product) acquired by the edge data acquisition node through the gateway, and the server calculates the carbon footprint value of the chemical product according to the carbon footprint calculation parameters.
As a specific embodiment of the present invention, the categories of carbon emissions include: carbon emission (carbon dioxide) generated by direct volatilization in the production process of chemical products, and carbon emission generated indirectly by fuel (such as electric power, heat and the like) required by the production of the chemical products, and carbon emission in the transportation process of the chemical products.
As shown in fig. 3, step S4 includes the following sub-steps:
step S410, classifying and dividing the carbon footprint calculation parameters of the received chemical products according to the data types required by the subtasks calculated by the carbon footprint values.
Specifically, the type of data required for the subtask of the carbon footprint value calculation is the type of parameters used for calculating the subtask, for example, the type of data required for the indirect carbon emission quantum task is the consumption of fuel, and the carbon emission factor of the fuel.
Specifically, each group of classified carbon footprint calculation parameters is used for calculating corresponding carbon footprint value subtasks respectively. Each group of classified carbon footprint calculation parameters forms a group of data queues, and the data queues are provided with corresponding subtask identifiers and sequence marks.
And step S420, respectively executing the subtasks of the carbon footprint value calculation according to the classified and divided carbon footprint calculation parameters, and obtaining the carbon emission of each subtask.
Step S430, calculating the carbon footprint value of the chemical product according to the carbon emission of each subtask.
As a specific embodiment of the present invention, the formula for calculating the carbon footprint value of the chemical product is as follows:
wherein ,
representing a carbon footprint value; />
Representation ofIndirect carbon emissions; />
Represents the amount of direct carbon emissions; />
Representing the carbon emissions during transportation.
As a specific embodiment of the present invention, the subtasks for carbon footprint value calculation include the following subtasks: calculating an indirect carbon emission amount, a direct carbon emission amount, a transportation carbon emission amount, and calculating a carbon footprint value of the chemical product according to the indirect carbon emission amount, the direct carbon emission amount, and the transportation carbon emission amount.
Wherein, the indirect carbon emission amount calculation formula is as follows:
wherein ,
indicate->
Consumption of seed fuel; />
Indicate->
Carbon emission factor of the seed fuel; />
The number of types of fuel required by the production of chemical products is indicated.
During chemical product production (e.g., material mixing, extrusion, and material removal), limestone is added to produce carbon emissions, as well as carbon emissions that produce waste. The method for calculating the direct carbon emission is as follows:
wherein ,
indicating the use amount of limestone; />
Representation->
(calcium carbonate) emission factor; />
Indicating the calcium carbonate content of the limestone.
Wherein, the calculation formula of the carbon emission in the transportation process is as follows:
wherein ,
the number of kinds of transportation equipment required in the transportation process is represented; />
Indicate->
A transport distance of the seed transport apparatus; />
Indicate->
Carbon emission factor of transportation equipment. />
And S5, comparing the carbon footprint value of the chemical product with a preset safety threshold, and optimizing the carbon footprint of the chemical product if the carbon footprint value of the chemical product is larger than the preset safety threshold, otherwise, not needing to optimize the carbon footprint of the chemical product.
Specifically, the method for optimizing the carbon footprint of the chemical product comprises the following steps: the energy-saving rectification is carried out on equipment used in the whole life cycle process of chemical products, or energy-saving and emission-reducing facilities are added.
Example two
As shown in fig. 4, the present application provides a chemical product-based carbon footprint calculation system 100, comprising:
the information acquisition module 10 is configured to acquire carbon footprint associated information corresponding to the chemical product according to a chemical product carbon footprint calculation task.
The data acquisition module 20 acquires carbon footprint calculation parameters of the carbon emission source through the edge data acquisition node according to the carbon emission source in the carbon footprint association information.
And the matching module 30 is used for responding to completion of all carbon footprint calculation parameters of the chemical product, and matching the task for the carbon footprint calculation task of the chemical product with a server.
The data processor 40 is configured to receive the carbon footprint calculation parameters of the chemical product using the matched server, and calculate a carbon footprint value of the chemical product according to the carbon footprint calculation parameters.
The data comparator 50 is configured to compare the carbon footprint value of the chemical product with a preset safety threshold, and if the carbon footprint value of the chemical product is greater than the preset safety threshold, optimize the carbon footprint of the chemical product, otherwise, the carbon footprint of the chemical product is not required to be optimized.
In accordance with the foregoing embodiments, the present invention provides a computer-readable storage medium having one or more program instructions embodied therein, the one or more program instructions configured to be executed by a processor to perform a chemical product-based carbon footprint calculation method.
The disclosed embodiments provide a computer readable storage medium having stored therein computer program instructions that, when executed on a computer, cause the computer to perform a chemical product-based carbon footprint calculation method as described above.
The embodiment of the invention provides a processor for processing the carbon footprint calculation method based on chemical products.
In the embodiment of the invention, the processor may be an integrated circuit chip with signal processing capability. The processor may be a general purpose processor, a digital signal processor (Digital Signal Processor, DSP for short), an application specific integrated circuit (Application Specific Integrated Circuit, ASIC for short), a field programmable gate array (FieldProgrammable Gate Array, FPGA for short), or other programmable logic device, discrete gate or transistor logic device, discrete hardware components.
The disclosed methods, steps, and logic blocks in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be embodied directly in the execution of a hardware decoding processor, or in the execution of a combination of hardware and software modules in a decoding processor. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The processor reads the information in the storage medium and, in combination with its hardware, performs the steps of the above method.
The storage medium may be memory, for example, may be volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory.
The nonvolatile Memory may be Read-Only Memory (ROM), programmable ROM (PROM), erasable Programmable ROM (z230078 f8xm2016. Eprom), electrically Erasable Programmable ROM (Electrically EPROM EEPROM), or flash Memory. The volatile memory may be a random access memory (Random Access Memory, RAM for short) which acts as an external cache. By way of example, and not limitation, many forms of RAM are available, such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (Double Data RateSDRAM), enhanced SDRAM (ESDRAM), synchronous DRAM (SLDRAM), and direct memory bus RAM (DRRAM).
The storage media described in embodiments of the present invention are intended to comprise, without being limited to, these and any other suitable types of memory.
The beneficial effects realized by the application are as follows:
(1) According to the method and the device, the carbon footprint associated information corresponding to the chemical product is obtained in response to the chemical product carbon footprint calculation task, so that the carbon footprint calculation parameters of the chemical product are obtained according to the carbon footprint associated information, the carbon footprint value of the chemical product is calculated, calculation of the carbon footprint value of a certain chemical product or a certain chemical product is realized, whether the phenomenon of exceeding standard exists is judged according to the calculated carbon footprint value, and basis is provided for optimization of energy conservation and emission reduction in the later period.
(2) The method and the system are used for matching the chemical product carbon footprint calculation tasks with the servers, fully utilize the resources of each server, avoid excessive power consumption during starting up of the servers, indirectly reduce carbon emission, ensure the processing performance of the servers on the chemical product carbon footprint calculation tasks, improve data processing efficiency, and improve the safety of the edge acquisition nodes and server services.
In the description of the present application, the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more of the described features. In the description of the present application, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.
In the description of the present application, the term "for example" is used to mean "serving as an example, instance, or illustration. Any embodiment described herein as "for example" is not necessarily to be construed as preferred or advantageous over other embodiments. The following description is presented to enable any person skilled in the art to make and use the invention. In the following description, details are set forth for purposes of explanation. It will be apparent to one of ordinary skill in the art that the present invention may be practiced without these specific details. In other instances, well-known structures and processes have not been described in detail so as not to obscure the description of the invention with unnecessary detail. Thus, the present invention is not intended to be limited to the embodiments shown, but is to be accorded the widest scope consistent with the principles and features disclosed herein.
The foregoing description is only illustrative of the invention and is not to be construed as limiting the invention. Various modifications and variations of the present invention will be apparent to those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. which are within the spirit and principles of the present invention are intended to be included within the scope of the claims of the present invention.
Claims (10)
1. The carbon footprint calculation method based on the chemical product is characterized by comprising the following steps of:
acquiring carbon footprint associated information corresponding to the chemical product according to the chemical product carbon footprint calculation task;
acquiring carbon footprint calculation parameters of the carbon emission source through an edge data acquisition node according to the carbon emission source in the carbon footprint associated information;
responding to completion of collection of all carbon footprint calculation parameters of the chemical product, and matching the carbon footprint calculation tasks of the chemical product with a server;
receiving the carbon footprint calculation parameters of the chemical product by using the matched server, and calculating the carbon footprint value of the chemical product according to the carbon footprint calculation parameters;
when the chemical product carbon footprint calculation tasks comprise a plurality of chemical product carbon footprint calculation tasks, calculating the association degree between any two chemical product carbon footprint calculation tasks according to the edge data acquisition nodes and/or the carbon emission sources corresponding to the chemical product carbon footprint calculation tasks; if the association degree between the two chemical product carbon footprint calculation tasks is larger than a preset association threshold, combining the two chemical product carbon footprint calculation tasks and distributing the two chemical product carbon footprint calculation tasks to the same server for processing.
2. The chemical product-based carbon footprint calculation method of claim 1, further comprising the steps of: and comparing the carbon footprint value of the chemical product with a preset safety threshold value, if the carbon footprint value of the chemical product is larger than the preset safety threshold value, optimizing the carbon footprint of the chemical product, otherwise, not needing to optimize the carbon footprint of the chemical product.
3. The chemical product-based carbon footprint calculation method of claim 1, wherein the identification of a chemical product is obtained according to a chemical product carbon footprint calculation task, and the carbon footprint associated information corresponding to the chemical product is obtained according to the identification of the chemical product.
4. The chemical product-based carbon footprint calculation method of claim 1, wherein the method of calculating a task matching server for a chemical product carbon footprint comprises the steps of:
acquiring the residual service resource characteristic data of a working server and the demand characteristic data of a chemical product carbon footprint calculation task;
calculating a matching value of the server and the chemical product carbon footprint calculation task according to the residual service resource characteristic data and the demand characteristic data of the chemical product carbon footprint calculation task;
if the matching value of the server and the chemical product carbon footprint calculation task is larger than a preset threshold, the server is matched with the chemical product carbon footprint calculation task, otherwise, the server is not matched with the chemical product carbon footprint calculation task.
5. The chemical product-based carbon footprint calculation method of claim 4, wherein if all servers that are working are not matched with a chemical product carbon footprint calculation task, a new server is started to be matched with the chemical product carbon footprint calculation task.
6. The chemical product-based carbon footprint calculation method of claim 1, wherein the method of receiving the chemical product carbon footprint calculation parameters and calculating the chemical product carbon footprint value from the carbon footprint calculation parameters using the matched server comprises:
classifying and dividing the carbon footprint calculation parameters of the received chemical products according to the data types required by the subtasks calculated by the carbon footprint values;
respectively executing the subtasks of the carbon footprint value calculation according to the classified and divided carbon footprint calculation parameters to obtain the carbon emission of each subtask;
and calculating the carbon footprint value of the chemical product according to the carbon emission of each subtask.
7. The chemical product-based carbon footprint calculation method of claim 1, wherein the carbon footprint association information includes a preset chemical product carbon footprint calculation boundary and a chemical product associated carbon emission source.
8. The chemical product-based carbon footprint calculation method according to claim 1, wherein the calculation method of the association degree between any two chemical product carbon footprint calculation tasks is as follows:
wherein ,
representing the degree of association between two chemical product carbon footprint calculation tasks; />
Representing a correlation factor between two chemical products; if two chemical products are in phaseMeanwhile, the->
The method comprises the steps of carrying out a first treatment on the surface of the Otherwise, the method comprises the steps of; />
；/>
Representing the carbon emission source influence weight; />
Representing the influence weight of the edge data acquisition node; />
Representing the number of carbon emission sources of the first chemical product carbon footprint calculation task; />
Representing a number of carbon emissions sources for a second chemical product carbon footprint calculation task; />
Representing the same number of carbon emission sources for the first chemical product carbon footprint calculation task and the second chemical product carbon footprint calculation task; />
Representing the number of edge data acquisition nodes of a first chemical product carbon footprint calculation task; />
Representing the number of edge data acquisition nodes of a second chemical product carbon footprint calculation task; />
Representing the same number of edge data acquisition nodes of the first chemical product carbon footprint calculation task and the second chemical product carbon footprint calculation task>
An influence weight representing the distance between the edge data acquisition node of the first chemical product carbon footprint calculation task and the edge data acquisition node of the second chemical product carbon footprint calculation task; />
Representing the maximum allowable limit value of the distance between the edge data acquisition node corresponding to the first chemical product carbon footprint calculation task and the edge data acquisition node corresponding to the second chemical product carbon footprint calculation task; />
And representing the actual maximum distance between the edge data acquisition node corresponding to the first chemical product carbon footprint calculation task and the edge data acquisition node corresponding to the second chemical product carbon footprint calculation task.
9. A chemical product based carbon footprint calculation system, characterized in that it performs the method of one of claims 1-8, the system comprising:
the information acquisition module is used for acquiring carbon footprint associated information corresponding to the chemical product according to the chemical product carbon footprint calculation task;
the data acquisition module is used for acquiring carbon footprint calculation parameters of the carbon emission source through the edge data acquisition nodes according to the carbon emission source in the carbon footprint associated information;
the matching module is used for responding to completion of collection of all carbon footprint calculation parameters of the chemical product and matching the task for calculating the carbon footprint of the chemical product with the server;
and the data processor is used for receiving the carbon footprint calculation parameters of the chemical products by using the matched server and calculating the carbon footprint value of the chemical products according to the carbon footprint calculation parameters.
10. The chemical-based carbon footprint computing system of claim 9, further comprising:
and the data comparator is used for comparing the carbon footprint value of the chemical product with a preset safety threshold value, optimizing the carbon footprint of the chemical product if the carbon footprint value of the chemical product is larger than the preset safety threshold value, and otherwise, not optimizing the carbon footprint of the chemical product.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117151960A (en) * | 2023-10-30 | 2023-12-01 | 佛山市龙生光启科技有限公司 | Big data driven carbon footprint evaluation system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102254078A (en) * | 2010-05-17 | 2011-11-23 | 上海杰远环保科技有限公司 | Multifunctional carbon footprint calculation terminal and implementation method thereof |
| CN109740573A (en) * | 2019-01-24 | 2019-05-10 | 北京旷视科技有限公司 | Video analysis method, apparatus, equipment and server |
| CN109948901A (en) * | 2019-02-13 | 2019-06-28 | 广东财经大学 | A kind of accounting method and system of the carbon footprint for house detergent product |
| CN115581937A (en) * | 2022-11-11 | 2023-01-10 | 中石化节能技术服务有限公司 | Distribution method for evaluating co-produced product in carbon footprint in rectification process |
| JP2023012081A (en) * | 2021-07-13 | 2023-01-25 | 三菱電機株式会社 | Data communication system, carbon footprint calculation device, priority setting device, billing data amount calculation device, communication control method, billing data amount calculation method, and program |
-
2023
- 2023-05-15 CN CN202310540016.0A patent/CN116258283B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102254078A (en) * | 2010-05-17 | 2011-11-23 | 上海杰远环保科技有限公司 | Multifunctional carbon footprint calculation terminal and implementation method thereof |
| CN109740573A (en) * | 2019-01-24 | 2019-05-10 | 北京旷视科技有限公司 | Video analysis method, apparatus, equipment and server |
| CN109948901A (en) * | 2019-02-13 | 2019-06-28 | 广东财经大学 | A kind of accounting method and system of the carbon footprint for house detergent product |
| JP2023012081A (en) * | 2021-07-13 | 2023-01-25 | 三菱電機株式会社 | Data communication system, carbon footprint calculation device, priority setting device, billing data amount calculation device, communication control method, billing data amount calculation method, and program |
| CN115581937A (en) * | 2022-11-11 | 2023-01-10 | 中石化节能技术服务有限公司 | Distribution method for evaluating co-produced product in carbon footprint in rectification process |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117151960A (en) * | 2023-10-30 | 2023-12-01 | 佛山市龙生光启科技有限公司 | Big data driven carbon footprint evaluation system |
| CN117151960B (en) * | 2023-10-30 | 2024-03-19 | 佛山市龙生光启科技有限公司 | Big data driven carbon footprint evaluation system |
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