Research on the framework of full-process condition monitoring and evaluation method for express logistics based on multi-information fusion and intelligent identification. Issue 1 (January 2020)
- Record Type:
- Journal Article
- Title:
- Research on the framework of full-process condition monitoring and evaluation method for express logistics based on multi-information fusion and intelligent identification. Issue 1 (January 2020)
- Main Title:
- Research on the framework of full-process condition monitoring and evaluation method for express logistics based on multi-information fusion and intelligent identification
- Authors:
- Ma, Luping
Zhang, Yuan
Du, Yanping
Huang, Lei - Abstract:
- Abstract: This paper describes the background and significance of the whole process state monitoring of express logistics in the three aspects of environment, society and economy, then introduces the current status of the tracking and monitoring of logistics process at home and abroad, and proposes the method of full-process condition monitoring and evaluation method for express logistics based on multi-information fusion and intelligent identification, The content of the method mainly includes: collecting data based on various information collection methods such as sensors, extracting and identifying the characteristics of expressive behavior through the algorithm and quantitative evaluation of the whole process express logistics status.finally, Finally, the paper summarizes the whole system-based method of multi-information fusion and intelligent identification of the whole logistics process monitoring and evaluation, and explains the follow-up work direction and content.
- Is Part Of:
- IOP conference series. Volume 740:Issue 1(2020)
- Journal:
- IOP conference series
- Issue:
- Volume 740:Issue 1(2020)
- Issue Display:
- Volume 740, Issue 1 (2020)
- Year:
- 2020
- Volume:
- 740
- Issue:
- 1
- Issue Sort Value:
- 2020-0740-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-01
- Subjects:
- Materials science -- Periodicals
620.1105 - Journal URLs:
- http://iopscience.iop.org/1757-899X ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1757-899X/740/1/012177 ↗
- Languages:
- English
- ISSNs:
- 1757-8981
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25332.xml