The Optimise Hub is here to help demystify the Industrial “Internet of Things” (IoT) and what it can mean to your business. Our mission is to build confidence in IoT and Industry 4.0 amongst SMEs in the UK Manufacturing sector to encourage the adoption of digital technologies to ensure UK businesses remain competitive and grow.
We are an organisation that seeks to bring businesses and other organisations together to achieve our mission and will work with any businesses wanting help and advice about Industry 4.0, Big Data and Machine to Machine communications.
We also have a programme of events to facilitate the sharing of ideas and to encourage collaboration and will be seeking to create collaborative projects that can develop novel Industry 4.0 applications and their underpinning technologies.
The Hub will ultimately build links between universities and business in order to enable innovative and cutting edge ideas to be converted into commercial market opportunities. Through this activity we will de-risk R&D opportunities at their earliest stage, and help to develop projects and ideas which can ultimately be prototyped and piloted either through collaborative funded projects or by startups and SMEs in the manufacturing sector.
Project funded by the Connected Everything Network
This project is the first to develop an Artificial Intelligence-based “Plug and Play Advanced Abnormal Perception Technology”, which could be deployed with low initial investment and installation costs. This will provide an SME with real-time monitoring of the production line and product quality.
For links to the project page, with a video and an information sheet, please follow this link:
Fortissimo Project on Predictive Maintenance in the Food Processing sector
This project will develop The Virtual Engineer #2 to produce a sophisticated Service as a Software (SaaS) through historical trend analysis by using an HPC platform, offering a virtual nucleus that allows data to travel seamlessly across machines, factories, even countries. This will allow the End User in the Dairy Sector the ability to reduce downtime, minimise waste, and deliver continuous supply of a just in time product. Adopting a condition-based predictive maintenance (CBPM) strategy is widely recognised as the best way of protecting expensive plant equipment (individual machine purchase price is £2m) – particularly those that are required to operate 24/7. Vibration levels can offer an early indication of wear and tear with the aid of monitoring systems that raise alarms so that engineers can investigate the causes.
Data Visualisation, and Decision Making in the Manufacturing Sector
10.00 – 16.30 Monday 25th June 2018
Location: University of Portsmouth
Manufacturers have a complex value chain, from the raw material itself and how to manage any supply constraints through to the complex production processes themselves. And whilst the product itself is usually core to a manufacturing business and remains the focus of any data being collated, the use of data and analytics throughout the value chain can lead to significant benefits in terms of cost reduction, machine usage and maintenance, scheduling and logistics, even sales forecasting.
As these production systems becoming increasingly intelligently automated through the drive for digitalisation, it is also important to remember that human skills will continue to remain essential for many tasks through the production process, making the marriage between humans and machines critical to success.
Data visualisation for effective decision-making becomes an essential element of the digitised manufacturing shop floor, as it will enable humans to work better and more effectively alongside the production process leading to the generation of efficiencies, the broadening of the scope of what the machinery can actually achieve and ultimately a boost in productivity by motivating workers through salient, useful and credible evidence based information. It can also have lasting impacts on the design process which in turn leads to other outcomes such as mass customisation and mass personalisation.
This workshop, organised by the University of Portsmouth Institute of Industrial Research, seeks to explore some of these challenges with industry presentations as well as presentations from the academic community and a panel session followed by lunch and poster/demo presentations.