Cloud-Based RF-Inspection for Ship Maintenance | Zendy

Jungmin Lee | Zendy; Kyungho Lee | Zendy; Dae-Seok Kim | Zendy

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Cloud-Based RF-Inspection for Ship Maintenance

Author(s) -

Jungmin Lee,

Kyungho Lee,

Dae-Seok Kim

Publication year - 2013

Publication title -

international journal of distributed sensor networks

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.324

H-Index - 53

eISSN - 1550-1477

pISSN - 1550-1329

DOI - 10.1155/2013/546469

Subject(s) - computer science , cloud computing , radio frequency identification , consistency (knowledge bases) , process (computing) , identification (biology) , work (physics) , computer security , handover , risk analysis (engineering) , telecommunications , mechanical engineering , medicine , botany , artificial intelligence , engineering , biology , operating system

Smart work services can help to reduce work time and help to remove irrational processes in the process of product management, by providing proper information promptly. To make the smart work environment, the system has to be in a data-driven manner so that the data can keep its consistency. Preexisting data acquisition method in inspection job is almost based on documents or handover from other engineers. However, sometimes it produces inconsistent data which is different from updated information and it leads to potential risk factors. To prevent and reduce inconstant information between users and updated information, this paper suggests radio-frequency identification device (RFID) and cloud technology.

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