Remote sensing, diagnosis and collaborative maintenance with Web-enabled virtual instruments and mini-servers

被引:28
作者
Wang, JF [1 ]
Tse, PW [1 ]
He, LS [1 ]
Yeung, RW [1 ]
机构
[1] City Univ Hong Kong, Dept Mfg Engn & Engn Management, Hong Kong, Hong Kong, Peoples R China
关键词
collaborative processing; Internet-based manufacturing; machine fault diagnosis; virtual instruments; Web-based maintenance;
D O I
10.1007/s00170-003-1753-4
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Optimised maintenance can reduce operating costs by demanding less resources and avoiding equipment breakdown, hence ensuring that daily manufacturing and production will not be interrupted. Web-based maintenance is one of the most efficient methods for optimising maintenance. The Web-based maintenance system that we have developed uses virtual instruments, to provide remote sensing, monitoring, and on-line fault diagnosis for equipment, together with a collaborative maintenance platform for international experts to interactively share their experiences in maintenance. Moreover, Web-based maintenance is suitable for multi-tasking and multi-user types of industrial work environments. In this paper, we summarise the methods used for Web-based remote sensing and monitoring, the design and implementation of Web-enabled virtual instruments, the architecture of the collaborative maintenance platform, and the design for the mini-servers. Each mini-server is equipped with a conventional mini-Web-server and a data acquisition (DAQ) server. With the help of Web-based maintenance, local companies can be transformed into global companies providing services to their customers anywhere and at anytime.
引用
收藏
页码:764 / 772
页数:9
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