Sensors 2014, 14(7), 11278-11292; doi:10.3390/s140711278
Article

Android Platform Based Smartphones for a Logistical Remote Association Repair Framework

Received: 14 March 2014; in revised form: 13 June 2014 / Accepted: 16 June 2014 / Published: 25 June 2014
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: The maintenance of large-scale systems is an important issue for logistics support planning. In this paper, we developed a Logistical Remote Association Repair Framework (LRARF) to aid repairmen in keeping the system available. LRARF includes four subsystems: smart mobile phones, a Database Management System (DBMS), a Maintenance Support Center (MSC) and wireless networks. The repairman uses smart mobile phones to capture QR-codes and the images of faulty circuit boards. The captured QR-codes and images are transmitted to the DBMS so the invalid modules can be recognized via the proposed algorithm. In this paper, the Linear Projective Transform (LPT) is employed for fast QR-code calibration. Moreover, the ANFIS-based data mining system is used for module identification and searching automatically for the maintenance manual corresponding to the invalid modules. The inputs of the ANFIS-based data mining system are the QR-codes and image features; the output is the module ID. DBMS also transmits the maintenance manual back to the maintenance staff. If modules are not recognizable, the repairmen and center engineers can obtain the relevant information about the invalid modules through live video. The experimental results validate the applicability of the Android-based platform in the recognition of invalid modules. In addition, the live video can also be recorded synchronously on the MSC for later use.
Keywords: logistics support planning; Logistical Remote Association Repair Framework (LRARF); QR-code; Linear Projective Transform (LPT); ANFIS-based data mining; Android-based platform
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MDPI and ACS Style

Lien, S.-F.; Wang, C.-C.; Su, J.-P.; Chen, H.-M.; Wu, C.-H. Android Platform Based Smartphones for a Logistical Remote Association Repair Framework. Sensors 2014, 14, 11278-11292.

AMA Style

Lien S-F, Wang C-C, Su J-P, Chen H-M, Wu C-H. Android Platform Based Smartphones for a Logistical Remote Association Repair Framework. Sensors. 2014; 14(7):11278-11292.

Chicago/Turabian Style

Lien, Shao-Fan; Wang, Chun-Chieh; Su, Juhng-Perng; Chen, Hong-Ming; Wu, Chein-Hsing. 2014. "Android Platform Based Smartphones for a Logistical Remote Association Repair Framework." Sensors 14, no. 7: 11278-11292.

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