A reference framework and overall planning of industrial artificial intelligence (I-AI) for new application scenarios
With the breakthroughs in artificial intelligence technology and the rapid development of intelligent manufacturing, industry and artificial intelligence (AI) are gradually being deeply integrated. On the basis of artificial intelligence, we systematically expounded the generation, definition, chara...
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Veröffentlicht in: | International journal of advanced manufacturing technology 2019-04, Vol.101 (9-12), p.2367-2389 |
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container_title | International journal of advanced manufacturing technology |
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creator | Zhang, Xianyu Ming, Xinguo Liu, Zhiwen Yin, Dao Chen, Zhihua Chang, Yuan |
description | With the breakthroughs in artificial intelligence technology and the rapid development of intelligent manufacturing, industry and artificial intelligence (AI) are gradually being deeply integrated. On the basis of artificial intelligence, we systematically expounded the generation, definition, characteristics, classification, technical system, and current situation of industrial artificial intelligence (I-AI). Combining existing research and industrial projects, we propose a detailed framework and a reference model for I-AI in industry. The framework contains seven dimensions: objects of I-AI, domain of I-AI, application stages of I-AI, application requirements of I-AI, intelligent technology of I-AI, intelligent function of I-AI, and solutions of I-AI. Secondly, based on the application scenarios of artificial intelligence and industrial convergence, we propose a detailed overall planning for I-AI. Finally, five typical industrial fields are selected, and the I-AI solutions based on TFV (technology and function integration in industrial value chain) unit and 6W1H method are used for new application scenarios of the proposed framework. In addition, a detailed case of implementing for I-AI in port equipment industry is given. The research results of this paper have achieved good results in the related industrial field and can provide some reference for other industrial enterprises to plan, design, implement, and apply artificial intelligence. |
doi_str_mv | 10.1007/s00170-018-3106-3 |
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On the basis of artificial intelligence, we systematically expounded the generation, definition, characteristics, classification, technical system, and current situation of industrial artificial intelligence (I-AI). Combining existing research and industrial projects, we propose a detailed framework and a reference model for I-AI in industry. The framework contains seven dimensions: objects of I-AI, domain of I-AI, application stages of I-AI, application requirements of I-AI, intelligent technology of I-AI, intelligent function of I-AI, and solutions of I-AI. Secondly, based on the application scenarios of artificial intelligence and industrial convergence, we propose a detailed overall planning for I-AI. Finally, five typical industrial fields are selected, and the I-AI solutions based on TFV (technology and function integration in industrial value chain) unit and 6W1H method are used for new application scenarios of the proposed framework. In addition, a detailed case of implementing for I-AI in port equipment industry is given. The research results of this paper have achieved good results in the related industrial field and can provide some reference for other industrial enterprises to plan, design, implement, and apply artificial intelligence.</description><identifier>ISSN: 0268-3768</identifier><identifier>EISSN: 1433-3015</identifier><identifier>DOI: 10.1007/s00170-018-3106-3</identifier><language>eng</language><publisher>London: Springer London</publisher><subject>Artificial intelligence ; CAE) and Design ; Computer-Aided Engineering (CAD ; Engineering ; Industrial and Production Engineering ; Intelligent manufacturing systems ; Mechanical Engineering ; Media Management ; Original Article</subject><ispartof>International journal of advanced manufacturing technology, 2019-04, Vol.101 (9-12), p.2367-2389</ispartof><rights>Springer-Verlag London Ltd., part of Springer Nature 2018</rights><rights>Copyright Springer Nature B.V. 2019</rights><rights>Springer-Verlag London Ltd., part of Springer Nature 2018.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c392t-798b2cd1bc0303b386f3d5bc65fad17724a58de2da90af574263a6c4ce3cbccd3</citedby><cites>FETCH-LOGICAL-c392t-798b2cd1bc0303b386f3d5bc65fad17724a58de2da90af574263a6c4ce3cbccd3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00170-018-3106-3$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00170-018-3106-3$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,41487,42556,51318</link.rule.ids></links><search><creatorcontrib>Zhang, Xianyu</creatorcontrib><creatorcontrib>Ming, Xinguo</creatorcontrib><creatorcontrib>Liu, Zhiwen</creatorcontrib><creatorcontrib>Yin, Dao</creatorcontrib><creatorcontrib>Chen, Zhihua</creatorcontrib><creatorcontrib>Chang, Yuan</creatorcontrib><title>A reference framework and overall planning of industrial artificial intelligence (I-AI) for new application scenarios</title><title>International journal of advanced manufacturing technology</title><addtitle>Int J Adv Manuf Technol</addtitle><description>With the breakthroughs in artificial intelligence technology and the rapid development of intelligent manufacturing, industry and artificial intelligence (AI) are gradually being deeply integrated. On the basis of artificial intelligence, we systematically expounded the generation, definition, characteristics, classification, technical system, and current situation of industrial artificial intelligence (I-AI). Combining existing research and industrial projects, we propose a detailed framework and a reference model for I-AI in industry. The framework contains seven dimensions: objects of I-AI, domain of I-AI, application stages of I-AI, application requirements of I-AI, intelligent technology of I-AI, intelligent function of I-AI, and solutions of I-AI. Secondly, based on the application scenarios of artificial intelligence and industrial convergence, we propose a detailed overall planning for I-AI. Finally, five typical industrial fields are selected, and the I-AI solutions based on TFV (technology and function integration in industrial value chain) unit and 6W1H method are used for new application scenarios of the proposed framework. In addition, a detailed case of implementing for I-AI in port equipment industry is given. The research results of this paper have achieved good results in the related industrial field and can provide some reference for other industrial enterprises to plan, design, implement, and apply artificial intelligence.</description><subject>Artificial intelligence</subject><subject>CAE) and Design</subject><subject>Computer-Aided Engineering (CAD</subject><subject>Engineering</subject><subject>Industrial and Production Engineering</subject><subject>Intelligent manufacturing systems</subject><subject>Mechanical Engineering</subject><subject>Media Management</subject><subject>Original Article</subject><issn>0268-3768</issn><issn>1433-3015</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp9kU1LxDAQhoMouK7-AG8BL3qoTpI2TY_L4sfCghc9hzRNlqzdpCati__e1hU86WkG5plnYF6ELgncEoDyLgGQEjIgImMEeMaO0IzkjGUMSHGMZkD5OCm5OEVnKW1HmhMuZmhY4GisicZrg21UO7MP8Q0r3-DwYaJqW9y1ynvnNzhY7HwzpD461WIVe2ednlrne9O2bvMtuV5li9UNtiFib_ZYdV3rtOpd8Dhp41V0IZ2jE6vaZC5-6hy9Pty_LJ-y9fPjarlYZ5pVtM_KStRUN6TWwIDVTHDLmqLWvLCqIWVJc1WIxtBGVaBsUeaUM8V1rg3TtdYNm6Org7eL4X0wqZfbMEQ_npQ0r0AIoIL9S1FglOVkxOaIHCgdQ0rj02QX3U7FT0lAThnIQwZyzEBOGcjJTA87aWT9xsRf899LX1FrijI</recordid><startdate>20190401</startdate><enddate>20190401</enddate><creator>Zhang, Xianyu</creator><creator>Ming, Xinguo</creator><creator>Liu, Zhiwen</creator><creator>Yin, Dao</creator><creator>Chen, Zhihua</creator><creator>Chang, Yuan</creator><general>Springer London</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20190401</creationdate><title>A reference framework and overall planning of industrial artificial intelligence (I-AI) for new application scenarios</title><author>Zhang, Xianyu ; Ming, Xinguo ; Liu, Zhiwen ; Yin, Dao ; Chen, Zhihua ; Chang, Yuan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c392t-798b2cd1bc0303b386f3d5bc65fad17724a58de2da90af574263a6c4ce3cbccd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Artificial intelligence</topic><topic>CAE) and Design</topic><topic>Computer-Aided Engineering (CAD</topic><topic>Engineering</topic><topic>Industrial and Production Engineering</topic><topic>Intelligent manufacturing systems</topic><topic>Mechanical Engineering</topic><topic>Media Management</topic><topic>Original Article</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Xianyu</creatorcontrib><creatorcontrib>Ming, Xinguo</creatorcontrib><creatorcontrib>Liu, Zhiwen</creatorcontrib><creatorcontrib>Yin, Dao</creatorcontrib><creatorcontrib>Chen, Zhihua</creatorcontrib><creatorcontrib>Chang, Yuan</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>International journal of advanced manufacturing technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Xianyu</au><au>Ming, Xinguo</au><au>Liu, Zhiwen</au><au>Yin, Dao</au><au>Chen, Zhihua</au><au>Chang, Yuan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A reference framework and overall planning of industrial artificial intelligence (I-AI) for new application scenarios</atitle><jtitle>International journal of advanced manufacturing technology</jtitle><stitle>Int J Adv Manuf Technol</stitle><date>2019-04-01</date><risdate>2019</risdate><volume>101</volume><issue>9-12</issue><spage>2367</spage><epage>2389</epage><pages>2367-2389</pages><issn>0268-3768</issn><eissn>1433-3015</eissn><abstract>With the breakthroughs in artificial intelligence technology and the rapid development of intelligent manufacturing, industry and artificial intelligence (AI) are gradually being deeply integrated. On the basis of artificial intelligence, we systematically expounded the generation, definition, characteristics, classification, technical system, and current situation of industrial artificial intelligence (I-AI). Combining existing research and industrial projects, we propose a detailed framework and a reference model for I-AI in industry. The framework contains seven dimensions: objects of I-AI, domain of I-AI, application stages of I-AI, application requirements of I-AI, intelligent technology of I-AI, intelligent function of I-AI, and solutions of I-AI. Secondly, based on the application scenarios of artificial intelligence and industrial convergence, we propose a detailed overall planning for I-AI. Finally, five typical industrial fields are selected, and the I-AI solutions based on TFV (technology and function integration in industrial value chain) unit and 6W1H method are used for new application scenarios of the proposed framework. In addition, a detailed case of implementing for I-AI in port equipment industry is given. The research results of this paper have achieved good results in the related industrial field and can provide some reference for other industrial enterprises to plan, design, implement, and apply artificial intelligence.</abstract><cop>London</cop><pub>Springer London</pub><doi>10.1007/s00170-018-3106-3</doi><tpages>23</tpages></addata></record> |
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subjects | Artificial intelligence CAE) and Design Computer-Aided Engineering (CAD Engineering Industrial and Production Engineering Intelligent manufacturing systems Mechanical Engineering Media Management Original Article |
title | A reference framework and overall planning of industrial artificial intelligence (I-AI) for new application scenarios |
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