Carbon consumption index algorithm based on big data
The invention discloses a carbon consumption index algorithm based on big data, which is characterized in that enterprise carbon consumption in a region is reflected by a scientific method, specific value calculation is performed on energy consumption carbon emission generated by eliminating clean e...
Gespeichert in:
Hauptverfasser: | , , , , , , , , , , , , , , , |
---|---|
Format: | Patent |
Sprache: | chi ; eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | |
container_title | |
container_volume | |
creator | CHEN JIANFENG WANG TAO LU FENG SHEN HEMING SHEN WEIQI XU JUN JI GUOLIANG FEI XUWEI CEN LIANG YIN XIAOMING WANG HANYUN LIU HAIFENG ZHOU JINGSONG XUE QIN XING JIANXU SHENG QIHUI |
description | The invention discloses a carbon consumption index algorithm based on big data, which is characterized in that enterprise carbon consumption in a region is reflected by a scientific method, specific value calculation is performed on energy consumption carbon emission generated by eliminating clean energy power generation such as photovoltaic and the like in enterprise carbon emission to the total output value to form an energy carbon consumption index; the algorithm dynamically reflects the output value carbon emission change of each county, and accurately shows the influence of the industrial structure, new energy utilization and other factors on the carbon consumption. The unit output value carbon emission level of each village and town is accurately reflected by the energy carbon consumption index. An evaluation algorithm is scientifically set, and the corresponding emission is accurately reduced from the total energy consumption of the photovoltaic and other new energy generating capacity in the region. T |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN113361847A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN113361847A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN113361847A3</originalsourceid><addsrcrecordid>eNrjZDBxTixKys9TSM7PKy7NLSjJBLIz81JSKxQSc9LzizJLMnIVkhKLU1MUgBJJmekKKYkliTwMrGmJOcWpvFCam0HRzTXE2UM3tSA_PrW4IDE5NS-1JN7Zz9DQ2NjM0MLE3NGYGDUAJsIsmg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Carbon consumption index algorithm based on big data</title><source>esp@cenet</source><creator>CHEN JIANFENG ; WANG TAO ; LU FENG ; SHEN HEMING ; SHEN WEIQI ; XU JUN ; JI GUOLIANG ; FEI XUWEI ; CEN LIANG ; YIN XIAOMING ; WANG HANYUN ; LIU HAIFENG ; ZHOU JINGSONG ; XUE QIN ; XING JIANXU ; SHENG QIHUI</creator><creatorcontrib>CHEN JIANFENG ; WANG TAO ; LU FENG ; SHEN HEMING ; SHEN WEIQI ; XU JUN ; JI GUOLIANG ; FEI XUWEI ; CEN LIANG ; YIN XIAOMING ; WANG HANYUN ; LIU HAIFENG ; ZHOU JINGSONG ; XUE QIN ; XING JIANXU ; SHENG QIHUI</creatorcontrib><description>The invention discloses a carbon consumption index algorithm based on big data, which is characterized in that enterprise carbon consumption in a region is reflected by a scientific method, specific value calculation is performed on energy consumption carbon emission generated by eliminating clean energy power generation such as photovoltaic and the like in enterprise carbon emission to the total output value to form an energy carbon consumption index; the algorithm dynamically reflects the output value carbon emission change of each county, and accurately shows the influence of the industrial structure, new energy utilization and other factors on the carbon consumption. The unit output value carbon emission level of each village and town is accurately reflected by the energy carbon consumption index. An evaluation algorithm is scientifically set, and the corresponding emission is accurately reduced from the total energy consumption of the photovoltaic and other new energy generating capacity in the region. T</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2021</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20210907&DB=EPODOC&CC=CN&NR=113361847A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20210907&DB=EPODOC&CC=CN&NR=113361847A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>CHEN JIANFENG</creatorcontrib><creatorcontrib>WANG TAO</creatorcontrib><creatorcontrib>LU FENG</creatorcontrib><creatorcontrib>SHEN HEMING</creatorcontrib><creatorcontrib>SHEN WEIQI</creatorcontrib><creatorcontrib>XU JUN</creatorcontrib><creatorcontrib>JI GUOLIANG</creatorcontrib><creatorcontrib>FEI XUWEI</creatorcontrib><creatorcontrib>CEN LIANG</creatorcontrib><creatorcontrib>YIN XIAOMING</creatorcontrib><creatorcontrib>WANG HANYUN</creatorcontrib><creatorcontrib>LIU HAIFENG</creatorcontrib><creatorcontrib>ZHOU JINGSONG</creatorcontrib><creatorcontrib>XUE QIN</creatorcontrib><creatorcontrib>XING JIANXU</creatorcontrib><creatorcontrib>SHENG QIHUI</creatorcontrib><title>Carbon consumption index algorithm based on big data</title><description>The invention discloses a carbon consumption index algorithm based on big data, which is characterized in that enterprise carbon consumption in a region is reflected by a scientific method, specific value calculation is performed on energy consumption carbon emission generated by eliminating clean energy power generation such as photovoltaic and the like in enterprise carbon emission to the total output value to form an energy carbon consumption index; the algorithm dynamically reflects the output value carbon emission change of each county, and accurately shows the influence of the industrial structure, new energy utilization and other factors on the carbon consumption. The unit output value carbon emission level of each village and town is accurately reflected by the energy carbon consumption index. An evaluation algorithm is scientifically set, and the corresponding emission is accurately reduced from the total energy consumption of the photovoltaic and other new energy generating capacity in the region. T</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>PHYSICS</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZDBxTixKys9TSM7PKy7NLSjJBLIz81JSKxQSc9LzizJLMnIVkhKLU1MUgBJJmekKKYkliTwMrGmJOcWpvFCam0HRzTXE2UM3tSA_PrW4IDE5NS-1JN7Zz9DQ2NjM0MLE3NGYGDUAJsIsmg</recordid><startdate>20210907</startdate><enddate>20210907</enddate><creator>CHEN JIANFENG</creator><creator>WANG TAO</creator><creator>LU FENG</creator><creator>SHEN HEMING</creator><creator>SHEN WEIQI</creator><creator>XU JUN</creator><creator>JI GUOLIANG</creator><creator>FEI XUWEI</creator><creator>CEN LIANG</creator><creator>YIN XIAOMING</creator><creator>WANG HANYUN</creator><creator>LIU HAIFENG</creator><creator>ZHOU JINGSONG</creator><creator>XUE QIN</creator><creator>XING JIANXU</creator><creator>SHENG QIHUI</creator><scope>EVB</scope></search><sort><creationdate>20210907</creationdate><title>Carbon consumption index algorithm based on big data</title><author>CHEN JIANFENG ; WANG TAO ; LU FENG ; SHEN HEMING ; SHEN WEIQI ; XU JUN ; JI GUOLIANG ; FEI XUWEI ; CEN LIANG ; YIN XIAOMING ; WANG HANYUN ; LIU HAIFENG ; ZHOU JINGSONG ; XUE QIN ; XING JIANXU ; SHENG QIHUI</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN113361847A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2021</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>PHYSICS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>CHEN JIANFENG</creatorcontrib><creatorcontrib>WANG TAO</creatorcontrib><creatorcontrib>LU FENG</creatorcontrib><creatorcontrib>SHEN HEMING</creatorcontrib><creatorcontrib>SHEN WEIQI</creatorcontrib><creatorcontrib>XU JUN</creatorcontrib><creatorcontrib>JI GUOLIANG</creatorcontrib><creatorcontrib>FEI XUWEI</creatorcontrib><creatorcontrib>CEN LIANG</creatorcontrib><creatorcontrib>YIN XIAOMING</creatorcontrib><creatorcontrib>WANG HANYUN</creatorcontrib><creatorcontrib>LIU HAIFENG</creatorcontrib><creatorcontrib>ZHOU JINGSONG</creatorcontrib><creatorcontrib>XUE QIN</creatorcontrib><creatorcontrib>XING JIANXU</creatorcontrib><creatorcontrib>SHENG QIHUI</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>CHEN JIANFENG</au><au>WANG TAO</au><au>LU FENG</au><au>SHEN HEMING</au><au>SHEN WEIQI</au><au>XU JUN</au><au>JI GUOLIANG</au><au>FEI XUWEI</au><au>CEN LIANG</au><au>YIN XIAOMING</au><au>WANG HANYUN</au><au>LIU HAIFENG</au><au>ZHOU JINGSONG</au><au>XUE QIN</au><au>XING JIANXU</au><au>SHENG QIHUI</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Carbon consumption index algorithm based on big data</title><date>2021-09-07</date><risdate>2021</risdate><abstract>The invention discloses a carbon consumption index algorithm based on big data, which is characterized in that enterprise carbon consumption in a region is reflected by a scientific method, specific value calculation is performed on energy consumption carbon emission generated by eliminating clean energy power generation such as photovoltaic and the like in enterprise carbon emission to the total output value to form an energy carbon consumption index; the algorithm dynamically reflects the output value carbon emission change of each county, and accurately shows the influence of the industrial structure, new energy utilization and other factors on the carbon consumption. The unit output value carbon emission level of each village and town is accurately reflected by the energy carbon consumption index. An evaluation algorithm is scientifically set, and the corresponding emission is accurately reduced from the total energy consumption of the photovoltaic and other new energy generating capacity in the region. T</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | chi ; eng |
recordid | cdi_epo_espacenet_CN113361847A |
source | esp@cenet |
subjects | CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
title | Carbon consumption index algorithm based on big data |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-21T05%3A25%3A35IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=CHEN%20JIANFENG&rft.date=2021-09-07&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN113361847A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |