Data Capture and Visualisation on a Shoestring: Demonstrating the Digital Manufacturing on a Shoestring Project - Smart Technologies for Precision Assembly Access content directly
Conference Papers Year : 2021

Data Capture and Visualisation on a Shoestring: Demonstrating the Digital Manufacturing on a Shoestring Project

Abstract

The adoption of digital manufacturing in small to medium enterprises (SMEs) in the manufacturing sector in the UK is low, yet these technologies offer significant promise to boost productivity. Two major causes of this lack of uptake is the high upfront cost of digital technologies, and the skill gap preventing understanding and implementation. This paper describes a common approach to data capture and visualisation that is cheap and simple. Cheap through the utilisation of low cost and readily available consumer technologies, and simple through the pre-defined flexible approaches that require a minimum of configuration. This approach was implemented on three demonstrators to showcase the flexibility of the approach. These were a tool condition monitoring system, a job and machine status monitor, and a robotic process monitor. The development process resulted in a software architecture where processes were separated and communicated by message queues. We conclude that a service oriented architecture would be the best system for carrying forward the development process. This research was conducted as part of the wider EPSRC Digital Manufacturing on a Shoestring project.
Fichier principal
Vignette du fichier
509926_1_En_14_Chapter.pdf (1.97 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03520406 , version 1 (11-01-2022)

Licence

Attribution

Identifiers

Cite

Michael J. Mcnally, Jack C. Chaplin, Giovanna Martínez-Arellano, Svetan Ratchev. Data Capture and Visualisation on a Shoestring: Demonstrating the Digital Manufacturing on a Shoestring Project. 9th International Precision Assembly Seminar (IPAS), Dec 2020, Held virtually, Unknown Region. pp.200-209, ⟨10.1007/978-3-030-72632-4_14⟩. ⟨hal-03520406⟩
29 View
0 Download

Altmetric

Share

Gmail Facebook X LinkedIn More