Computing power self-adaptive scheduling method and system for complex tobacco processing task
The invention relates to a complex tobacco processing task-oriented computing power adaptive scheduling method and system, and relates to the technical field of data processing. The method comprises the following steps: acquiring tobacco data; processing the tobacco data by using operators in a pre-...
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| creator | BAI YINSHUAI SUN ZHITAO YANG YONGFENG FU YUFENG LIU QIANG XIANG PAN LI HONGTAO MA YUPING XU HENG ZHANG JUNLING |
| description | The invention relates to a complex tobacco processing task-oriented computing power adaptive scheduling method and system, and relates to the technical field of data processing. The method comprises the following steps: acquiring tobacco data; processing the tobacco data by using operators in a pre-constructed operator library, wherein the pre-constructed operator library comprises a data source operator used for acquiring the tobacco data, a preprocessing operator used for standardizing the tobacco data and a feature operator used for processing the tobacco data which are connected in sequence; and storing the processing result. Through the method, the processing and analysis efficiency of the tobacco big data can be improved.
本公开涉及一种面向复杂烟草处理任务的算力自适应调度方法与系统，涉及数据处理技术领域。其中，该方法包括：获取所述烟草数据；利用预构建的算子库中的算子对所述烟草数据进行处理，所述预构建的算子库中包括依次连接的用于获取所述烟草数据的数据源算子、用于标准化所述烟草数据的预处理算子、以及用于处理所述烟草数据的特征算子；保存处理结果。通过以上方法，能提升烟草大数据的处理和分析效率。 |
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本公开涉及一种面向复杂烟草处理任务的算力自适应调度方法与系统，涉及数据处理技术领域。其中，该方法包括：获取所述烟草数据；利用预构建的算子库中的算子对所述烟草数据进行处理，所述预构建的算子库中包括依次连接的用于获取所述烟草数据的数据源算子、用于标准化所述烟草数据的预处理算子、以及用于处理所述烟草数据的特征算子；保存处理结果。通过以上方法，能提升烟草大数据的处理和分析效率。</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2024</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=20240503&DB=EPODOC&CC=CN&NR=117971471A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240503&DB=EPODOC&CC=CN&NR=117971471A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>BAI YINSHUAI</creatorcontrib><creatorcontrib>SUN ZHITAO</creatorcontrib><creatorcontrib>YANG YONGFENG</creatorcontrib><creatorcontrib>FU YUFENG</creatorcontrib><creatorcontrib>LIU QIANG</creatorcontrib><creatorcontrib>XIANG PAN</creatorcontrib><creatorcontrib>LI HONGTAO</creatorcontrib><creatorcontrib>MA YUPING</creatorcontrib><creatorcontrib>XU HENG</creatorcontrib><creatorcontrib>ZHANG JUNLING</creatorcontrib><title>Computing power self-adaptive scheduling method and system for complex tobacco processing task</title><description>The invention relates to a complex tobacco processing task-oriented computing power adaptive scheduling method and system, and relates to the technical field of data processing. The method comprises the following steps: acquiring tobacco data; processing the tobacco data by using operators in a pre-constructed operator library, wherein the pre-constructed operator library comprises a data source operator used for acquiring the tobacco data, a preprocessing operator used for standardizing the tobacco data and a feature operator used for processing the tobacco data which are connected in sequence; and storing the processing result. Through the method, the processing and analysis efficiency of the tobacco big data can be improved.
本公开涉及一种面向复杂烟草处理任务的算力自适应调度方法与系统，涉及数据处理技术领域。其中，该方法包括：获取所述烟草数据；利用预构建的算子库中的算子对所述烟草数据进行处理，所述预构建的算子库中包括依次连接的用于获取所述烟草数据的数据源算子、用于标准化所述烟草数据的预处理算子、以及用于处理所述烟草数据的特征算子；保存处理结果。通过以上方法，能提升烟草大数据的处理和分析效率。</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNi70KwkAQBtNYiPoO6wOkOBSCpQTFyspaWe--mOAle2Q3_ry9BnwAqylmZpqdS2nTYE13oyRP9KSIVc6BkzUPkPoaYYijbmG1BOIukL7V0FIlPfnvHvEikyt7L5R68VAdB2O9z7NJxVGx-HGWLfe7U3nIkeQCTezRwS7l0bliU7h14barf5oPlYc9Qg</recordid><startdate>20240503</startdate><enddate>20240503</enddate><creator>BAI YINSHUAI</creator><creator>SUN ZHITAO</creator><creator>YANG YONGFENG</creator><creator>FU YUFENG</creator><creator>LIU QIANG</creator><creator>XIANG PAN</creator><creator>LI HONGTAO</creator><creator>MA YUPING</creator><creator>XU HENG</creator><creator>ZHANG JUNLING</creator><scope>EVB</scope></search><sort><creationdate>20240503</creationdate><title>Computing power self-adaptive scheduling method and system for complex tobacco processing task</title><author>BAI YINSHUAI ; SUN ZHITAO ; YANG YONGFENG ; FU YUFENG ; LIU QIANG ; XIANG PAN ; LI HONGTAO ; MA YUPING ; XU HENG ; ZHANG JUNLING</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN117971471A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>BAI YINSHUAI</creatorcontrib><creatorcontrib>SUN ZHITAO</creatorcontrib><creatorcontrib>YANG YONGFENG</creatorcontrib><creatorcontrib>FU YUFENG</creatorcontrib><creatorcontrib>LIU QIANG</creatorcontrib><creatorcontrib>XIANG PAN</creatorcontrib><creatorcontrib>LI HONGTAO</creatorcontrib><creatorcontrib>MA YUPING</creatorcontrib><creatorcontrib>XU HENG</creatorcontrib><creatorcontrib>ZHANG JUNLING</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>BAI YINSHUAI</au><au>SUN ZHITAO</au><au>YANG YONGFENG</au><au>FU YUFENG</au><au>LIU QIANG</au><au>XIANG PAN</au><au>LI HONGTAO</au><au>MA YUPING</au><au>XU HENG</au><au>ZHANG JUNLING</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Computing power self-adaptive scheduling method and system for complex tobacco processing task</title><date>2024-05-03</date><risdate>2024</risdate><abstract>The invention relates to a complex tobacco processing task-oriented computing power adaptive scheduling method and system, and relates to the technical field of data processing. The method comprises the following steps: acquiring tobacco data; processing the tobacco data by using operators in a pre-constructed operator library, wherein the pre-constructed operator library comprises a data source operator used for acquiring the tobacco data, a preprocessing operator used for standardizing the tobacco data and a feature operator used for processing the tobacco data which are connected in sequence; and storing the processing result. Through the method, the processing and analysis efficiency of the tobacco big data can be improved.
本公开涉及一种面向复杂烟草处理任务的算力自适应调度方法与系统，涉及数据处理技术领域。其中，该方法包括：获取所述烟草数据；利用预构建的算子库中的算子对所述烟草数据进行处理，所述预构建的算子库中包括依次连接的用于获取所述烟草数据的数据源算子、用于标准化所述烟草数据的预处理算子、以及用于处理所述烟草数据的特征算子；保存处理结果。通过以上方法，能提升烟草大数据的处理和分析效率。</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| title | Computing power self-adaptive scheduling method and system for complex tobacco processing task |
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