DocumentCode :
168371
Title :
Logistical Remote Association Repair Framework Using Smartphones Based on the Android Platform
Author :
Shao-Fan Lien ; Chun Chieh Wang ; Juhng-Perng Su ; Chein-Hsing Wu
Author_Institution :
Integrated Logistic Support Center, Chung-shan Inst. of Sci. & Technol., Taoyuan, Taiwan
fYear :
2014
fDate :
10-12 June 2014
Firstpage :
1191
Lastpage :
1194
Abstract :
A Logistical Remote Association Repair Framework (LRARF) is developed to aid repairmen for keeping the large-scale system available in this paper. The framework constituted by smart mobile phones of repairmen, Database Management System (DBMS), a maintenance support center (MSC) and wireless networks. When the modules cannot be recognized, the repairman uses smart mobile phones to capture QR-codes and the image of fault circuit boards. Moreover, we use Android to develop the image recognizing algorithm on the smart mobile phones of repairmen. The captured QR-codes or images of the invalid modules can be recognized via our algorithm such that the features can be transmitted to the DBMS. In addition, DBMS also transmits the maintenance manual back to the maintenance staff. If the invalid modules still cannot be recognized, the repairmen and center engineers can connect through live video to obtain the relevant information. The experimental results validate the practicality of LRARF and Android platforms applied to recognition of invalid modules. Furthermore, the live video can be also recorded on the MSC synchronously.
Keywords :
Android (operating system); database management systems; image recognition; logistics; maintenance engineering; mobile computing; production engineering computing; smart phones; Android platform; DBMS; LRARF; MSC; QR-codes; database management system; fault circuit boards; image recognizing algorithm; logistical remote association repair framework; maintenance support center; quick response codes; smart mobile phones; wireless networks; Computers; Image recognition; Logistics; Maintenance engineering; Manuals; Smart phones; Android platform; image recognition; remote association repair;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer, Consumer and Control (IS3C), 2014 International Symposium on
Conference_Location :
Taichung
Type :
conf
DOI :
10.1109/IS3C.2014.309
Filename :
6846101
Link To Document :
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