CN115757836A - Product carbon footprint analysis system based on knowledge graph - Google Patents
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Abstract
The invention discloses a product carbon footprint analysis system based on a knowledge graph, which relates to the technical field of carbon emission analysis and solves the technical problem that a generated overall carbon footprint report can only represent a certain emission trend and cannot be analyzed to a corresponding emission time period and an emission region in detail without analyzing regional parameters and corresponding time period parameters of a product stage, so that corresponding emission abnormal points cannot be found quickly; by adopting the emission data analysis processing mode, the abnormal time period parameters of the abnormal area can be quickly found, and meanwhile, a plurality of groups of data are sequentially analyzed, so that the accuracy of data analysis is improved, and external personnel can find the corresponding emission abnormal points in time conveniently.
Description
Technical Field
The invention belongs to the technical field of carbon emission analysis, and particularly relates to a product carbon footprint analysis system based on a knowledge graph.
Background
The carbon footprint of a product, which refers to the amount of greenhouse gas emissions generated along the product's entire life cycle, from the mining, manufacturing, transportation, distribution, use of raw materials to the final waste stage, is the most widely used concept in carbon footprints.
The invention with the patent number of CN114358668B discloses a carbon footprint big data analysis method and system based on industrial Internet identification, and relates to the field of carbon footprint analysis, wherein a carbon footprint analysis server acquires industrial Internet identification of a target product belonging to a target model, takes the industrial Internet identification as target identification, and sends an analysis request aiming at the target identification to a first analysis server; so that the first analysis server analyzes the target identification to obtain a target storage address, and sends the target storage address to the carbon footprint analysis server; acquiring product information of a target product according to the target storage address; the product information includes information at various stages throughout the life cycle of the target product; calculating the carbon footprint of the target product according to the product information; the carbon footprint of the target product is analyzed, a carbon footprint report for the target product is generated, the carbon footprint of each stage of the target product can be quantitatively calculated and analyzed, the carbon footprint report is generated, and data support is provided for a low-carbon supply chain.
When the above patent is used for analyzing the carbon footprint, parameters generated by the carbon footprint are sequentially analyzed to generate a corresponding carbon footprint report, and in the existing carbon footprint analysis process, the existing carbon footprint analysis process is generally only used for a corresponding product stage, but the area parameters of the product stage and the corresponding time period parameters are not analyzed, so that the generated overall carbon footprint report can only represent a certain emission trend, and cannot be analyzed in detail to a corresponding emission time period and an emission area, and therefore, a corresponding emission abnormal point cannot be found quickly.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art; therefore, the invention provides a product carbon footprint analysis system based on a knowledge graph, which is used for solving the technical problem that the generated overall carbon footprint report only represents a certain emission trend and cannot be analyzed to the corresponding emission time period and emission area in detail so as not to find the corresponding emission abnormal point quickly because the area parameters of the product stage and the corresponding time period parameters are not analyzed.
In order to achieve the above object, an embodiment according to a first aspect of the present invention provides a product carbon footprint analysis system based on a knowledge graph, including an emission data acquisition end, a data analysis center, and a display terminal;
the data analysis center comprises a phase data distinguishing end, a region data processing end, a storage end, a time period data processing end and a data marking end;
the emission data acquisition end is used for acquiring the emission data of the parameters of the carbon footprint of the product and transmitting the acquired emission data to the data analysis center;
the stage data distinguishing terminal in the data analysis center is used for carrying out stage distinguishing processing on the collected emission data, and sequentially distinguishing the collected emission data into carbon footprint data of different stages according to the carbon footprint of the product and different data marks;
the regional data processing terminal extracts the emission data of different subareas from the storage terminal in sequence, processes the data belonging to different regions according to the extracted emission data, and marks the region with high emission as an abnormal region by adopting a mode of data analysis and region proportion in the past;
and the time period data processing end extracts the emission data of the abnormal area from the storage end according to the judged abnormal area, performs time period analysis on the emission data, compares the emission data of a single time period with preset parameters, generates an early warning mark signal or a normal signal according to a comparison result, and transmits the early warning mark signal or the normal signal to the data marking end for marking.
Preferably, the specific way of performing stage distinguishing processing on the collected emission data by the stage data distinguishing end is as follows:
acquiring emission data belonging to different stages according to the carbon footprint of the product, and carrying out partition processing on the emission data of the different stages;
and transmitting the emission data after partition processing to a storage end for storage, wherein the emission data of different partitions adopt different partition marks.
Preferably, the specific way of processing the data belonging to different areas by the area data processing terminal according to the extracted emission data is as follows:
presetting and determining a certain partition, classifying the discharge data of different area addresses according to the area address of the discharge data, and setting the discharge data as data to be processed;
acquiring the emission data of the partition 30 days before from the storage end, and marking the emission data as PF i-k Wherein i represents different days and k represents different zones;
PF dividing groups of emission data i-k Carrying out mean value processing to obtain a mean value parameter JZ to be processed;
marking data to be processed as DCL k By using DCL k -JZ=BD k Obtaining the comparison value BD of the corresponding area k ；
Comparing the values BD k Comparing with a preset threshold value Y1, wherein the value of the specific Y1 is drawn up by an operator according to experience when the BD is used k And when the value is more than or equal to Y1, obtaining an abnormal signal, otherwise, not generating any signal, and marking the corresponding area as an abnormal area according to the abnormal signal.
Preferably, the time period data processing end performs time period analysis on the emission data in a specific manner that:
s1, extracting emission data of 30 days before the abnormal area, and marking the data of a single day period as SD t-j Where t represents different days, j represents different time periods, t =1, 2, … …, 30,j =1, 2, … …;
s2, reconverting the time interval data SD t-j Subdividing the time interval data SD t-j Dividing the parameters into 60 micro-segment parameters, and marking the micro-segment parameters as WD t-j-x Wherein x represents different micro-segment parameters, x =1, 2, … …, 60;
s3, calculating micro-segment parameters WD t-j-x Comparing with a preset threshold value Y2, wherein the specific value of Y2 is drawn up by an operator according to experience when WD is detected t-j-x When the micro-segment parameter is more than Y2, the micro-segment parameter is marked as an early warning parameter, otherwise, the micro-segment parameter is not marked, and the early warning parameter is acquired and exists in the data SD of the segment at the moment t-j The number of early warning times and the early warning duration are marked as R1, and the early warning duration is marked as R2;
s4, adopt
Obtaining the percentage parameter ZBC of the early warning parameter t-j-x The ratio parameter ZBC t-j-x Comparing with a preset threshold value Y3, wherein the value of Y3 is drawn up by an operator according to experience, and when ZBC is obtained t-j-x When > Y3, a mark signal is generated corresponding to the period data SD t-j Binding;
s5, repeating the steps S2 to S4 for the emission data of different periods of different days in 30 days in sequence, and obtaining the period data SD in the same period from 30 days t-j Is extracted from 30 same period data SD t-j Obtaining the marking times XHCS of the marking signals, comparing the marking times XHCS with a preset threshold Y4, drawing the value of Y4 according to the experience of an operator, generating early warning marking signals when XHCS is larger than Y4, otherwise generating normal signals, and generating corresponding time period data SD t-j And transmitting the corresponding early warning mark signal or normal signal to the data mark terminal.
Preferably, the data marking terminal marks the time-segment data SD according to the early warning marking signal or the normal signal t-j Performing marking processing on the time period data SD of the designated area with the early warning mark signal t-j Early warning marking is carried out, and time interval data SD after the early warning marking is carried out t-j Transmitting to the display terminal for display, and comparing the time interval data SD with normal signal t-j No labeling was performed.
Compared with the prior art, the invention has the beneficial effects that: acquiring emission data of parameters of a carbon footprint of a product, performing stage distinguishing processing on the acquired emission data, sequentially distinguishing the acquired emission data into carbon footprint data of different stages according to the carbon footprint of the product and different data marks, sequentially extracting the emission data of different partitions from a storage terminal, processing data belonging to different regions according to the extracted emission data, marking a region with high emission into an abnormal region by adopting a mode of data analysis and region occupation, extracting the emission data of the abnormal region from the storage terminal according to the judged abnormal region, performing period analysis on the emission data, comparing the emission data of a single period with preset parameters, generating an early warning mark signal or a normal signal according to a comparison result, transmitting the early warning mark signal into a data mark terminal for marking processing, performing early warning mark on the period data of a specified region with the early warning mark signal, transmitting the period data after the early warning mark into a display terminal for displaying, and not performing any mark on the period data with the normal signal;
by adopting the emission data analysis processing mode, the abnormal time period parameters of the abnormal area can be quickly found, meanwhile, a plurality of groups of data are sequentially analyzed, the accuracy of data analysis is improved, and external personnel can find the corresponding emission abnormal points in time conveniently.
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Fig. 1 is a schematic diagram of the principle of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the application provides a product carbon footprint analysis system based on a knowledge graph, which includes an emission data acquisition end, a data analysis center and a display terminal;
the output end of the emission data acquisition end is electrically connected with the input end of the data analysis center, and the output end of the data analysis center is electrically connected with the input end of the display terminal;
the data analysis center comprises a phase data distinguishing end, a region data processing end, a storage end, a time period data processing end and a data marking end;
the phase data distinguishing end output end is electrically connected with the area data processing end and the time period data processing end input end, the area data processing end is bidirectionally connected with the time period data processing end and the storage end, the area data processing end output end is electrically connected with the time period data processing end input end, and the time period data processing end output end is electrically connected with the data marking end input end;
the emission data acquisition end is used for acquiring the emission data of the parameters of the carbon footprint of the product and transmitting the acquired emission data to the data analysis center;
the stage data distinguishing end in the data analysis center is used for distinguishing and processing the collected emission data in stages, and distinguishing the collected emission data into carbon footprint data in different stages in sequence according to carbon footprints of products and different data marks, wherein the specific mode of distinguishing and processing is as follows:
acquiring emission data belonging to different stages according to the carbon footprint of the product, and carrying out partition processing on the emission data of the different stages;
transmitting the emission data subjected to partition processing into a storage end for storage, wherein the emission data of different partitions adopt different partition marks;
the regional data processing end extracts the emission data of different subareas from the storage end in sequence, processes the data belonging to different regions according to the extracted emission data, marks the region with high emission as an abnormal region by adopting a mode of data analysis and region proportion in the past, and processes the abnormal region in the following specific mode:
presetting and determining a certain partition, classifying the discharge data of different area addresses according to the area address of the discharge data, and setting the discharge data as data to be processed;
obtaining the emission data of 30 days before the subarea from the storage end, and marking the emission data as PF i-k Wherein i represents different days and k represents different regions;
PF several sets of emission data i-k Carrying out mean value processing to obtain a mean value parameter JZ to be processed;
marking data to be processed as DCL k By using DCL k -JZ=BD k Obtaining the comparison value BD of the corresponding area k ；
Comparing the values BD k Comparing with a preset threshold value Y1, wherein the value of the specific Y1 is drawn up by an operator according to experience when the BD is used k And when the value is more than or equal to Y1, obtaining an abnormal signal, otherwise, not generating any signal, and marking the corresponding area as an abnormal area according to the abnormal signal.
The time period data processing end extracts the emission data of the abnormal area from the storage end according to the judged abnormal area, performs time period analysis on the emission data, compares the emission data of a single time period with preset parameters, generates an early warning mark signal or a normal signal according to a comparison result, transmits the early warning mark signal or the normal signal to the data marking end for marking, and performs time period analysis on the emission data in a specific mode that:
s1, extracting emission data of 30 days before the abnormal area, and marking the data of a single day period as SD t-j Where t represents different days, j represents different time periods, t =1, 2, … …, 30,j =1, 2, … …;
s2, reconverting the time interval data SD t-j Subdividing the time interval data SD t-j The micro-segment parameters are divided into 60 micro-segment parameters (the micro-segment parameters represent the emission parameters of each different minute), and the micro-segment parameters are marked as WD t-j-x Wherein x represents different micro-segment parameters, x =1, 2, … …, 60;
s3, calculating micro-segment parameters WD t-j-x Comparing with a preset threshold value Y2, wherein the specific value of Y2 is drawn up by an operator according to experience when WD is detected t-j-x When the micro-segment parameter is more than Y2, the micro-segment parameter is marked as an early warning parameter, otherwise, the micro-segment parameter is not marked, and the obtained early warning parameter exists in the data SD at the time segment t-j The number of early warning times and the early warning duration are marked as R1, and the early warning duration is marked as R2;
s4, adopt
Obtaining the percentage parameter ZBC of the early warning parameter t-j-x The ratio parameter ZBC t-j-x Comparing with a preset threshold value Y3, wherein the value of the Y3 is drawn up by an operator according to experience, and when the ZBC is used t-j-x When > Y3, a mark signal is generated corresponding to the period data SD t-j Binding;
s5, repeating the steps S2 to S4 for the emission data of different periods of different days in 30 days in sequence, and obtaining the period data SD in the same period from 30 days t-j Is extracted from 30 same period data SD t-j Obtaining the marking times XHCS of the marking signals, comparing the marking times XHCS with a preset threshold Y4, drawing the value of Y4 according to the experience of an operator, generating early warning marking signals when XHCS is larger than Y4, otherwise generating normal signals, and generating corresponding time period data SD t-j And transmitting the corresponding early warning mark signal or normal signal to the data mark terminal.
The data marking end is used for marking time-segment data SD according to the early warning marking signal or the normal signal t-j Performing marking processing on the time period data SD of the designated area with the early warning mark signal t-j Early warning marking is carried out, and time interval data SD after the early warning marking is carried out t-j Transmitting to the display terminal for display, and comparing the time interval data SD with normal signal t-j No labeling was performed;
part of data in the formula is obtained by removing dimensions and calculating the numerical value of the data, and the formula is a formula which is closest to the real condition and obtained by simulating a large amount of collected data through software; the preset parameters and the preset threshold values in the formula are set by those skilled in the art according to actual conditions or obtained through simulation of a large amount of data.
The working principle of the invention is as follows: collecting emission data of parameters of a carbon footprint of a product, transmitting the collected emission data to a data analysis center, carrying out stage distinguishing processing on the collected emission data, sequentially distinguishing the collected emission data into carbon footprint data of different stages according to the carbon footprint of the product and different data marks, sequentially extracting emission data of different partitions from a storage terminal, processing the data belonging to different areas according to the extracted emission data, marking the area with high emission as an abnormal area in a manner of data analysis and area occupation, extracting the emission data of the abnormal area from the storage terminal according to the judged abnormal area, carrying out period analysis on the emission data, comparing the emission data of a single period with preset parameters, generating an early warning mark signal or a normal signal according to a comparison result, transmitting the early warning mark signal or the normal signal to a data mark terminal for marking processing, carrying out early warning mark on the period data of a specified area with the early warning mark signal, transmitting the period data after the early warning mark to a display terminal for displaying the period data with the normal signal, and carrying out no marking on the period data with the signal;
by adopting the emission data analysis processing mode, the abnormal time period parameters of the abnormal area can be quickly found, meanwhile, a plurality of groups of data are sequentially analyzed, the accuracy of data analysis is improved, and external personnel can find the corresponding emission abnormal points in time conveniently.
Although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the spirit and scope of the present invention.
Claims (5)
1. The product carbon footprint analysis system based on the knowledge graph is characterized by comprising an emission data acquisition end, a data analysis center and a display terminal;
the data analysis center comprises a phase data distinguishing end, a region data processing end, a storage end, a time period data processing end and a data marking end;
the emission data acquisition end is used for acquiring the emission data of the parameters of the carbon footprint of the product and transmitting the acquired emission data to the data analysis center;
the stage data distinguishing end in the data analysis center is used for carrying out stage distinguishing processing on the collected emission data and sequentially distinguishing the collected emission data into carbon footprint data of different stages according to the carbon footprint of the product and different data marks;
the regional data processing terminal extracts the emission data of different subareas from the storage terminal in sequence, processes the data belonging to different regions according to the extracted emission data, and marks the region with high emission as an abnormal region by adopting a mode of data analysis and region proportion in the past;
and the time period data processing end extracts the emission data of the abnormal area from the storage end according to the judged abnormal area, performs time period analysis on the emission data, compares the emission data of a single time period with preset parameters, generates an early warning mark signal or a normal signal according to a comparison result, and transmits the early warning mark signal or the normal signal to the data marking end for marking.
2. The product carbon footprint analysis system based on a knowledge-graph of claim 1, wherein the stage data discrimination end performs stage discrimination processing on the collected emission data in a specific manner that:
acquiring emission data belonging to different stages according to the carbon footprint of the product, and carrying out partition processing on the emission data of the different stages;
and transmitting the emission data after partition processing to a storage end for storage, wherein the emission data of different partitions adopt different partition marks.
3. The product carbon footprint analysis system based on knowledge-graph of claim 2, wherein the specific way of processing the data belonging to different regions by the region data processing end according to the extracted emission data is:
presetting and determining a certain partition, classifying the discharge data of different area addresses according to the area address of the discharge data, and setting the discharge data as data to be processed;
obtaining the emission data of 30 days before the subarea from the storage end, and marking the emission data as PF i-k Wherein i represents different days and k represents different regions;
PF several sets of emission data i-k Carrying out mean value processing to obtain a mean value parameter JZ to be processed;
marking data to be processed as DCL k By using DCL k -JZ=BD k Obtaining the comparison value BD of the corresponding area k ；
Comparing the values BD k Comparing with a preset threshold value Y1, wherein the value of the specific Y1 is drawn up by an operator according to experience when the BD is used k And when the value is more than or equal to Y1, obtaining an abnormal signal, otherwise, not generating any signal, and marking the corresponding area as an abnormal area according to the abnormal signal.
4. The product carbon footprint analysis system based on knowledge-graph of claim 3, wherein the period data processing end performs period analysis on the emission data by:
s1, extracting emission data of 30 days before the abnormal area, and marking the data of a single day period as SD t-j Where t represents different days, j represents different time periods, t =1, 2, … …, 30,j =1, 2, … …;
s2, reconverting the time interval data SD t-j Subdividing the time interval data SD t-j Dividing the parameters into 60 micro-segment parameters, and marking the micro-segment parameters as WD t-j-x Wherein x represents different micro-segment parameters, x =1, 2, … …, 60;
s3, calculating micro-segment parameters WD t-j-x Comparing with a preset threshold value Y2, wherein the specific value of Y2 is drawn up by an operator according to experience when WD is detected t-j-x When the micro-segment parameter is more than Y2, the micro-segment parameter is marked as an early warning parameter, otherwise, the micro-segment parameter is not marked, and the micro-segment parameter is obtainedData SD with early warning parameters existing at the time t-j The number of early warning times and the early warning duration are marked as R1, and the early warning duration is marked as R2;
s4, adopt
Obtaining the percentage parameter ZBC of the early warning parameter t-j-x The ratio parameter ZBC t-j-x Comparing with a preset threshold value Y3, wherein the value of Y3 is drawn up by an operator according to experience, and when ZBC is obtained t-j-x When > Y3, a mark signal is generated corresponding to the period data SD t-j Binding;
s5, repeating the steps S2 to S4 for the emission data of different periods of different days in 30 days in sequence, and obtaining the period data SD in the same period from 30 days t-j Is extracted from 30 same period data SD t-j Obtaining the marking times XHCS of the marking signals, comparing the marking times XHCS with a preset threshold Y4, drawing the value of Y4 according to the experience of an operator, generating early warning marking signals when XHCS is larger than Y4, otherwise generating normal signals, and generating corresponding time period data SD t-j And transmitting the corresponding early warning mark signal or normal signal to the data mark terminal.
5. The product carbon footprint analysis system based on knowledge-graph of claim 4, wherein said data tagging end is configured to tag time segment data SD according to early warning tag signal or normal signal t-j Performing marking processing on the time period data SD of the designated area with the early warning mark signal t-j Early warning marking is carried out, and time interval data SD after the early warning marking is carried out t-j Transmitting to a display terminal for display, and comparing the time period data SD with normal signal t-j No labeling was performed.
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| CN114564543A (en) * | 2022-02-24 | 2022-05-31 | 国网上海市电力公司 | Carbon footprint acquisition method based on knowledge graph |
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