基于Android平台的智能手机物流远程关联修复框架

S. Lien, Chun Wang, J. Su, Chein-Hsing Wu
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引用次数: 2

摘要

本文开发了一个后勤远程关联维修框架(LRARF),以帮助维修人员保持大型系统的可用性。该框架由维修人员的智能手机、数据库管理系统(DBMS)、维修支持中心(MSC)和无线网络组成。当模块无法识别时,维修人员使用智能手机捕捉qr码和故障电路板图像。此外,我们还利用Android开发了修理工智能手机上的图像识别算法。捕获的无效模块的qr码或图像可以通过我们的算法进行识别,以便将特征传输到DBMS。此外,DBMS还将维护手册传回给维护人员。如果仍然无法识别出失效模块,维修人员与中心工程师可以通过视频直播连接,获取相关信息。实验结果验证了LRARF和Android平台应用于无效模块识别的实用性。此外,现场视频也可以同步录制在MSC上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Logistical Remote Association Repair Framework Using Smartphones Based on the Android Platform
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.
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