IoT-enabled energy efficiency monitoring and analysis method for energy saving in sheet metal forming workshop
Sheet metal forming, as a typical energy-intensive process, consumes massive energy. Due to the significant difference between sheet metal forming and machining, manufacturers still lack an effective method to monitor and analyze the energy efficiency in the sheet metal forming workshop. To this end...
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| Veröffentlicht in: | Journal of Central South University 2022, Vol.29 (1), p.239-258 |
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| creator | Gan, Lei Huang, Hai-hong Li, Lei Xiong, Wei Liu, Zhi-feng |
| description | Sheet metal forming, as a typical energy-intensive process, consumes massive energy. Due to the significant difference between sheet metal forming and machining, manufacturers still lack an effective method to monitor and analyze the energy efficiency in the sheet metal forming workshop. To this end, an energy efficiency monitoring and analysis (EEMA) method, which is supported by Internet of Things (IoT), is proposed. The characteristics in a forming workshop are first analyzed, and then the architecture of the method is expatiated-detailedly. Energy efficiency indicators at machine level, process level, and workshop level are defined, respectively. Finally, a sheet metal forming workshop for the deformation of panels of forklift was investigated to validate the effectiveness and benefits of the proposed method. With the application of the IoT-enabled method, various energy-saving decisions can be made by the management of the enterprises for energy efficiency improvement and energy consumption reduction (EEIECR) in the sheet metal forming workshop. |
| doi_str_mv | 10.1007/s11771-022-4933-9 |
| format | Article |
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Due to the significant difference between sheet metal forming and machining, manufacturers still lack an effective method to monitor and analyze the energy efficiency in the sheet metal forming workshop. To this end, an energy efficiency monitoring and analysis (EEMA) method, which is supported by Internet of Things (IoT), is proposed. The characteristics in a forming workshop are first analyzed, and then the architecture of the method is expatiated-detailedly. Energy efficiency indicators at machine level, process level, and workshop level are defined, respectively. Finally, a sheet metal forming workshop for the deformation of panels of forklift was investigated to validate the effectiveness and benefits of the proposed method. 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With the application of the IoT-enabled method, various energy-saving decisions can be made by the management of the enterprises for energy efficiency improvement and energy consumption reduction (EEIECR) in the sheet metal forming workshop.</description><subject>Deformation effects</subject><subject>Energy conservation</subject><subject>Energy consumption</subject><subject>Energy efficiency</subject><subject>Engineering</subject><subject>Internet of Things</subject><subject>Machining</subject><subject>Metal forming</subject><subject>Metal sheets</subject><subject>Metallic Materials</subject><subject>Monitoring</subject><subject>Workshops</subject><issn>2095-2899</issn><issn>2227-5223</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp1kE1LxDAQhoMouKz7A7wVPEfz0U2boyx-LCx4Wc8hTSe70bapSVfpvzeliichQ2aG9x1mHoSuKbmlhBR3kdKioJgwhnPJOZZnaMEYK_CaMX6eciLXmJVSXqJVjK4inDLBhRQL1G39HkOnqwbqDDoIhzEDa51x0Jkxa33nBh9cd8h0V6fQzRhdzFoYjr7OrA-_pqg_J5XrsngEGCaFbiZBO7W_fHiPR99foQurmwirn3-JXh8f9ptnvHt52m7ud9hwKgZsRG4IMbnVpih1RWihmeWQcybSFYbUQNZGVoxoaXgJstZ5WeXSpiq3Va35Et3Mc_vgP04QB_XmTyFtHxUTrCxKwdNbIjqrTPAxBrCqD67VYVSUqImsmsmqRFZNZJVMHjZ7Yj9hgfA3-X_TN7B9fbU</recordid><startdate>2022</startdate><enddate>2022</enddate><creator>Gan, Lei</creator><creator>Huang, Hai-hong</creator><creator>Li, Lei</creator><creator>Xiong, Wei</creator><creator>Liu, Zhi-feng</creator><general>Central South University</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0001-9382-1059</orcidid></search><sort><creationdate>2022</creationdate><title>IoT-enabled energy efficiency monitoring and analysis method for energy saving in sheet metal forming workshop</title><author>Gan, Lei ; Huang, Hai-hong ; Li, Lei ; Xiong, Wei ; Liu, Zhi-feng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-c64c00c4fac78ab017a2f3e4326899c0de05c9b20a9c38e9da48b49f9c34fbda3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Deformation effects</topic><topic>Energy conservation</topic><topic>Energy consumption</topic><topic>Energy efficiency</topic><topic>Engineering</topic><topic>Internet of Things</topic><topic>Machining</topic><topic>Metal forming</topic><topic>Metal sheets</topic><topic>Metallic Materials</topic><topic>Monitoring</topic><topic>Workshops</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gan, Lei</creatorcontrib><creatorcontrib>Huang, Hai-hong</creatorcontrib><creatorcontrib>Li, Lei</creatorcontrib><creatorcontrib>Xiong, Wei</creatorcontrib><creatorcontrib>Liu, Zhi-feng</creatorcontrib><collection>CrossRef</collection><jtitle>Journal of Central South University</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gan, Lei</au><au>Huang, Hai-hong</au><au>Li, Lei</au><au>Xiong, Wei</au><au>Liu, Zhi-feng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>IoT-enabled energy efficiency monitoring and analysis method for energy saving in sheet metal forming workshop</atitle><jtitle>Journal of Central South University</jtitle><stitle>J. Cent. South Univ</stitle><date>2022</date><risdate>2022</risdate><volume>29</volume><issue>1</issue><spage>239</spage><epage>258</epage><pages>239-258</pages><issn>2095-2899</issn><eissn>2227-5223</eissn><abstract>Sheet metal forming, as a typical energy-intensive process, consumes massive energy. Due to the significant difference between sheet metal forming and machining, manufacturers still lack an effective method to monitor and analyze the energy efficiency in the sheet metal forming workshop. To this end, an energy efficiency monitoring and analysis (EEMA) method, which is supported by Internet of Things (IoT), is proposed. The characteristics in a forming workshop are first analyzed, and then the architecture of the method is expatiated-detailedly. Energy efficiency indicators at machine level, process level, and workshop level are defined, respectively. Finally, a sheet metal forming workshop for the deformation of panels of forklift was investigated to validate the effectiveness and benefits of the proposed method. With the application of the IoT-enabled method, various energy-saving decisions can be made by the management of the enterprises for energy efficiency improvement and energy consumption reduction (EEIECR) in the sheet metal forming workshop.</abstract><cop>Changsha</cop><pub>Central South University</pub><doi>10.1007/s11771-022-4933-9</doi><tpages>20</tpages><orcidid>https://orcid.org/0000-0001-9382-1059</orcidid></addata></record> |
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| ispartof | Journal of Central South University, 2022, Vol.29 (1), p.239-258 |
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| language | eng |
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| source | Alma/SFX Local Collection; SpringerLink Journals - AutoHoldings |
| subjects | Deformation effects Energy conservation Energy consumption Energy efficiency Engineering Internet of Things Machining Metal forming Metal sheets Metallic Materials Monitoring Workshops |
| title | IoT-enabled energy efficiency monitoring and analysis method for energy saving in sheet metal forming workshop |
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