Principal investigator: Professor Bruce Drinkwater

Funder's reference: EPSRC (EP/S016813/1)

Website: http://pipebots.ac.uk/

Summary:

This Programme Grant proposes a radical change in terms of buried pipe sensing in order to address the issues of pipe inspection and rehabilitation. It builds upon recent advances in sensors, nano- and micro-electronics research, communication and robotic autonomous systems and aims to develop a completely new pervasive robotics sensing technology platform which is autonomous and covers the entire pipe network. These robots will be able to travel, cooperate and interrogate the pipes from the inside, detect the onset of any defects continuously, navigate to and zoom on sub-millimetre scale defects to examine them in detail, communicate and guide any maintenance equipment to repair the infrastructure at an early sign of deterioration. By being tiny, they do not present a danger of being stuck, blocking the pipe if damaged or run out of power. By being abundant, they introduce a high level of redundancy in the inspection system, so that routine inspection can continue after a loss of a proportion of the sensors in the swarm. By making use of the propagation of sonic waves and other types of sensing these robots can monitor any changes in the condition of the pipe walls, joints, valves and lateral connections; they can detect the early development and growth of sub-millimetre scale operational or structural faults and pipe corrosion. An important benefit of this sensing philosophy is that it mimics nature, i.e. the individual sensors are small, cheap and unsophisticated, but a swarm of them is highly capable and precise. This innovation will be the first of its kind to deploy swarms of miniaturised robots in buried pipes together with other emerging in-pipe sensor, navigation and communication solutions with long-term autonomy. Linked to the related previous work, iBUILD (EP/K012398), ICIF (EP/K012347) and ATU's Decision Support System (EP/K021699), this Programme Grant will create the technology that has flexibility to adapt to different systems of governance globally.