20 January 1997 Open approach for machine diagnostics and process optimization
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Abstract
Machine diagnostics and process optimization requires efficient techniques for the real time collection and dissemination of information to enterprise personnel. Open data presentations are required for the diverse software packages used by enterprise personnel, from process modeling and statistical process control to financial and Management Information Systems (MIS) packages. Current systems that enable rapid data collection tend to be vendor specific, point to point applications that are difficult and expensive to update, extend and modify. An open architecture is required that is capable of providing low cost real time collection and dissemination of information to end user applications. The development of an open architecture within the object oriented paradigm to solve a process optimization problem within a packaging organization is described in this paper. The architecture encompasses both the high level data dissemination and low level data storage and communications. A robust communications link between the sensors/intelligent nodes positioned on shop floor machines and the archive/dissemination medium is provided by a fieldbus network. The fieldbus communications link is configurable to allow the periodic sampling/monitoring shop floor data, and high performance collection of data regarding specific processes or events. The data transmission techniques utilized allow the high performance collection of data without disrupting object technology infrastructure. The common object request broker architecture is utilized to provide truly distributed systems for the myriad of applications used by enterprise personnel.
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C. Stuart McLeod, C. Stuart McLeod, David W. Thomas, David W. Thomas, Andrew A. West, Andrew A. West, Neal A. Armstrong, Neal A. Armstrong, } "Open approach for machine diagnostics and process optimization", Proc. SPIE 2912, Open Architecture Control Systems and Standards, (20 January 1997); doi: 10.1117/12.263373; https://doi.org/10.1117/12.263373
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