Industrial Process Tomography - Platform II grant funded by EPSRC


The Next Generation Industrial Process Tomography
a joint platform grant between The University of Leeds and The University of Manchester

The technical programme will address 4 themes. The longer term goals in each case are identified below but it is important to note that we are not proposing that these can be achieved under the level of funding provided by this Platform grant. Rather, the funding will enable us to undertake the essential underpinning research to fuel the downstream proposals that WILL deliver significant progress towards the ultimate aims.

Theme T1 : Multi-Dimensional Network Sensing

New opportunities to understand micro-scale to very-large scale processes will be created through low-cost autonomously communicating sensor nodes. These may be fixed or mobile and will embed local positioning systems. The ability to form heterogeneous networks of sensors, to self-organise the communication and routing of results between them, and then to integrate the collected data, will inform a new genre of process intelligence.

EPSRC platform grant II team
Principal Investigators (from left to right)
Professors: Brian Hoyle1, Kevin Roberts1, Trevor York 2, Mi Wang1, Richard A Williams1, Anthony Peyton2, Hugh McCann2 (not in the photo) .

1The University of Leeds, 2The University of Manchester

Theme T2 - New Sensing Technologies for Small-Scale Chemical and Physical State Tomography
Previous process tomography sensor systems have, typically, addressed the distribution of one parameter at the macroscopic scale, for instance conductivity. We now propose to explore novel techniques to achieve simultaneous measurements of multiple parameters from nano- to macro- scale, through multi-modal approaches exploiting photonic techniques and micro-fabrication of sensors.

Theme T3 - Smart Tomography Systems and Multi-Dimensional Data Fusion
Research will explore fundamental science that defines temporal and spatial resolution, relative to physical features and constraints such as sensor configurations, process dimensions and signal to noise ratio. A new spectroscopic approach is proposed that will : facilitate the extraction of signal components in various noise environments in both spatial and temporal modes; exploit spectroscopic data.

Theme T4 / Extending the Spectral and Temporal Envelope for Electromagnetic Tomography
Our ability to exploit the electromagnetic spectrum in order to interrogate industrial processes has taken significant steps forward over the past decade. Fundamental research into the low frequency electrical modalities has been translated into a broad base of applications, as described earlier. However, our opportunities to exploit electromagnetic techniques further can be expected to continue, possibly at an even greater pace. This theme aims to build of the use non-contact electromagnetic tomography mainly at low, and RF frequencies, exploiting both continuous wave and pulse time domain techniques.

The Platform grant will also enable us to pursue Outreach activities, to deliver and expand the World Congress in Industrial Process Tomography and the membership of The Virtual Centre Industrial Consortium; to disseminate the research outcomes for Public Awareness; to commission a multi-media presentation - for web and general dissemination to present technical horizons, benefits and impact on society.