Coking coal sulfur content detection system based on big data
The invention relates to the technical field of coking coal, is used for solving the problems that rapid matching between an enterprise and a third-party detection mechanism cannot be realized and bidirectional selection between the enterprise and the third-party detection mechanism is difficult to...
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| creator | CHEN SHUAI MI MINGTAO HUANG HAIFENG LI LI MENG QINGYONG YANG XIAOHONG ZHANG YISHUO LI CHAO CUI PING RAN HENGXIN OU ZHANBEI YUAN MINGPENG ZHANG WEI |
| description | The invention relates to the technical field of coking coal, is used for solving the problems that rapid matching between an enterprise and a third-party detection mechanism cannot be realized and bidirectional selection between the enterprise and the third-party detection mechanism is difficult to realize in the process of detecting the sulfur content of the coking coal in the existing enterprise, and particularly discloses a coking coal sulfur content detection system based on big data. Comprising a server, a data acquisition unit, an enterprise demand analysis unit, a detection mechanism analysis unit and an information matching analysis unit, according to the method, firstly, the detection requirement difficulty of the sulfur content of the coking coal of the enterprise is judged, the requirement grades are divided, the detection qualification and service work of the third-party detection institution are judged and analyzed from different levels, and the grade division of the detection qualification level |
| format | Patent |
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Comprising a server, a data acquisition unit, an enterprise demand analysis unit, a detection mechanism analysis unit and an information matching analysis unit, according to the method, firstly, the detection requirement difficulty of the sulfur content of the coking coal of the enterprise is judged, the requirement grades are divided, the detection qualification and service work of the third-party detection institution are judged and analyzed from different levels, and the grade division of the detection qualification level</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>2023</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=20230228&DB=EPODOC&CC=CN&NR=115719144A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230228&DB=EPODOC&CC=CN&NR=115719144A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>CHEN SHUAI</creatorcontrib><creatorcontrib>MI MINGTAO</creatorcontrib><creatorcontrib>HUANG HAIFENG</creatorcontrib><creatorcontrib>LI LI</creatorcontrib><creatorcontrib>MENG QINGYONG</creatorcontrib><creatorcontrib>YANG XIAOHONG</creatorcontrib><creatorcontrib>ZHANG YISHUO</creatorcontrib><creatorcontrib>LI CHAO</creatorcontrib><creatorcontrib>CUI PING</creatorcontrib><creatorcontrib>RAN HENGXIN</creatorcontrib><creatorcontrib>OU ZHANBEI</creatorcontrib><creatorcontrib>YUAN MINGPENG</creatorcontrib><creatorcontrib>ZHANG WEI</creatorcontrib><title>Coking coal sulfur content detection system based on big data</title><description>The invention relates to the technical field of coking coal, is used for solving the problems that rapid matching between an enterprise and a third-party detection mechanism cannot be realized and bidirectional selection between the enterprise and the third-party detection mechanism is difficult to realize in the process of detecting the sulfur content of the coking coal in the existing enterprise, and particularly discloses a coking coal sulfur content detection system based on big data. 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Comprising a server, a data acquisition unit, an enterprise demand analysis unit, a detection mechanism analysis unit and an information matching analysis unit, according to the method, firstly, the detection requirement difficulty of the sulfur content of the coking coal of the enterprise is judged, the requirement grades are divided, the detection qualification and service work of the third-party detection institution are judged and analyzed from different levels, and the grade division of the detection qualification level</abstract><oa>free_for_read</oa></addata></record> |
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| 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 | Coking coal sulfur content detection system based on big data |
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