< Project Overview >
Some of the existing challenges developers of low cost industrial IoT systems face are related to the lack of a systematic approach for dealing with a vast collection of existing and emerging technologies, particularly when choosing suitable hardware, software and algorithms.
This project aims to establish a methodology to identify, classify and select technologies compliant with low-cost digital (“Shoestring”) solutions.
To validate this approach, the project proposes the development of demonstrators derived from the activities of the Digital Manufacturing on a Shoestring project. This will identify and capture key factors in the industrial adoption and deployment of demonstrators in SMEs.
The project will establish a guidance to recognise off-the-shelf affordable technology to enable low cost IoT deployment. In addition, the project will explore the advantages and disadvantages of different methodologies for classifying technologies. Investigation will be undertaken to develop one to two Industrial IoT demonstrators.
- identify off-the-shelf technology suites best suited for low cost industrial IoT deployments
- low cost industrial IoT demonstrator development: develop industrial IoT demonstrations in areas of interest for UK manufacturing SMEs such as digital inspection, legacy equipment data capture and digital tracking.
- develop a further research proposal (e.g. Innovate UK) which will focus on the industrial adoption
Professor Duncan McFarlane, The University of Cambridge