A re-engineered data acquisition model for full industrial automation

Abstract

This paper presents a re-engineered data acquisition model for full industrial automation. Data acquisition is a most probable tool
for industrial survival and has taken a lead in most automation attempts. The acquisition models in use today seem to be static in
view and cannot be used adequately for emerging industrial demands. An analysis of few of these models indicates that full
automation cannot be attained by their application. In this paper, an all-inclusive data acquisition approach to full automation of
the industrial environment is provided through re-engineering. A mathematical analysis and modeling of the full industrial
automation environment were carried out followed by a hardware platform that could implement the model in any application
area. The paper also provides requirements specification for customizing the model in specific areas of application. The paper
concludes by drawing a scenario for the model’s hardware platform implementation.