Adoption of Senceive’s innovative remote condition monitoring solutions in the rail and construction industries
Submitting Institution
University College LondonUnit of Assessment
Electrical and Electronic Engineering, Metallurgy and MaterialsSummary Impact Type
TechnologicalResearch Subject Area(s)
Information and Computing Sciences: Information Systems
Engineering: Electrical and Electronic Engineering
Technology: Communications Technologies
Summary of the impact
UCL spinout company, Senceive Ltd, has established itself as an
innovative provider of wireless enabled remote condition monitoring
solutions. The company provides a robust, scalable, safe and highly
cost-effective infrastructure monitoring capability for railway and
construction industry applications, with customers including Amey,
Costain, Network Rail and Tubelines. Recent deployments on projects such
as Crossrail have been recognised by industry bodies as delivering
significant product innovation and cost savings in excess of £1 million
compared to use of a wired monitoring solution.
Underpinning research
The research underpinning this impact case study was undertaken in the
Department of Electronic and Electrical Engineering from 2003 to 2005 by
Dr Lionel Sacks, a Lecturer in the Information and Communication Systems
Group and Dr Matthew Britton, a post-doctoral research fellow in the same
research group. It arose as part of a Department of Trade and Industry
(DTI)-funded project entitled SECOAS (Self-Organising Collegiate Sensor
Networks) in which UCL was a participant along with industrial partners BT
Exact PLC, Intelisys Ltd and Plextek Ltd, and the Universities of Essex
and East Anglia. The objectives of the project [1, 2] were to demonstrate
how a distributed network of smart sensors could be configured through the
development of decentralised algorithms, such that the resulting sensor
network would automatically adapt to failures, upgrades and requirement
changes. Importantly, practical validation of the resulting technology
took place through a trial deployment at the Scroby Sands wind farm
located off the Norfolk coast.
UCL's significant contribution to the SECOAS project was the development
of an Integration Service Layer (ISL), which consisted of a lightweight
operating system and modules for interfacing between the sensors,
communications layers and processing systems that reside on each wireless
node. Figure 1 illustrates schematically the basic approach, where sensor
components, supported by microcontroller-based devices, are networked and
managed to form a system capable of performing remote asset monitoring. It
used design rules inspired by biological automata or agents which interact
with their neighbours via simple rules whilst also co-operating with a
large number of individuals to perform complex global tasks; the basis of
these concepts were presented at the premier sensor networks venue in 2005
[3, 4]. This was crucial to the resulting mesh-network communications
architecture being both highly robust to the changes in topology that
could occur due to node failures, obstacles placed in radio paths and
varying weather conditions, and extremely scalable. The use of distributed
approaches to network management [2, 3] enabled each node in the
mesh-network architecture to be truly self-organising and autonomous, and
as a result, avoided installation complexities arising from the use of
explicit routing nodes in wireless monitoring approaches based upon Zigbee
(IEEE 802.15.4) communication protocols. By the conclusion of the project,
the SECOAS project partners had demonstrated [5] that it was feasible to
combine the UCL ISL with cheap off-the-shelf hardware and software
components in order to provide a wireless-enabled asset-monitoring
solution that had potential for use in environmental and industrial
monitoring applications.
The translational objectives of the DTI's Next Wave programme funding
also resulted in a series of market assessment activities being undertaken
as the project team sought to understand the commercial potential of the
project's research outputs. These activities indicated that owners of
rail, utility and industrial infrastructure were seeking to monitor the
state of their assets in a more efficient and robust manner. For example,
Sir Ian McAllister (then Chairman of Network Rail) cited that his
organisation was investing tens of millions of pounds in `intelligent
infrastructure' programmes, as they sought to deliver effective predictive
maintenance programmes that would enable railway operators to be informed
when problems with often ageing and remote assets were likely to occur,
and thus enable better planning for future investment. Resulting benefits
would include the ability to maintain high availability of transportation
networks, a reduction in operational problems, delays and associated
economic consequences, and also increased safety both for passengers and
railway workers. Back in 2005, wireless-enabled remote condition
monitoring technologies showed promise, but a limiting factor to adoption
was that the solutions needed to be robust, scalable and cost-effective in
line with expectations of users who were highly conscious of safety and
reliability. With the early prototypes of the UCL technology satisfying
such requirements, the decision was made to commercially exploit the UCL
technology through the creation of a spinout company, Senceive Ltd, which
was founded in November 2005. In January 2006, Dr Britton became a
full-time employee of Senceive in order to assist in the translation of
the UCL technology into a commercial product, whilst Dr Sacks provided
consultancy support to the company post-incorporation.
References to the research
1. The SECOAS Project: Development of a Self-Organising, Wireless Sensor
Network for Environmental Monitoring. M. Britton and L. Sacks. Second
International Workshop on Sensor and Actor Network Protocols and
Applications, August 2004, Boston, Massachusetts, USA. http://www.cs.kent.ac.uk/projects/secoas/papers/SANPA-2004-Britton.pdf
{26 citations — Google Scholar)
2. A Self-Synchronised Scheme for Automated Communication in Wireless
Sensor Networks, A. Gonzalez-Velazquez, I.W. Marshall and L. Sacks.
Proceedings of IEEE Conference on Intelligent Sensors, Sensor Networks and
Information Processing, ISSNIP' 2004, Melbourne, Australia. http://doi.org/crhtf7
{11 citations — Google Scholar}
3. A Biologically-Inspired Approach to Designing Wireless Sensor
Networks, M. Britton, L. Shum, L. Sacks and H. Haddadi. European
Conference on Wireless Sensor Networks. January 2005. Istanbul, Turkey.
doi: http://doi.org/fsw8xk {17
citations — Google Scholar}
4. A Biologically-Inspired Clustering Algorithm Dependent on Spatial Data
in Sensor Networks, I. Wokoma, L. L. Shum, L. Sacks, and I. Marshall.
European Conference on Wireless Sensor Networks. January 2005. Istanbul,
Turkey. http://doi.org/fdzf2n {27
citations — Google Scholar; 61 downloads from IEEEXplore since Jan. 2011}
5. Engineering for Real — The SECOAS Project. I. W. Marshall, A. E.
Gonzalez, I. D. Henning, N. Boyd, C. M. Roadknight, J. Tateson, and L.
Sacks. Workshop on Software Engineering Challenges for Ubiquitous
Computing. University of Lancaster, June 2006. http://ubicomp.lancs.ac.uk/workshops/seuc2006/
{26 citations — Google Scholar}
References [1], [3] and [5] best demonstrate the quality of the research.
The SECOAS project was funded by the UK Department of Trade and Industry
(DTI) as part of the Next Wave Technologies and Markets programme, with
the UCL element consisting of £105,300 of funding for research activities
that were undertaken during the period January 2003 to April 2005.
Details of the impact
In the years since its formation, Senceive Ltd has established itself as
the preferred provider of wireless remote condition monitoring for
geotechnical and railway projects in the UK, leading to significant commercial
benefits for both Senceive and its customers. The company's Flatmesh
product range — launched in May 2009 and based upon UCL-developed wireless
mesh technology — provides a highly robust, reliable and easy-to-deploy
asset monitoring solution. Flatmesh enables the owners of
geotechnical, rail and construction infrastructure to accurately and
efficiently monitor their highly valuable and often difficult to access
assets and in a manner which is significantly more cost-effective
compared to alternatives such as manual monitoring, wired solutions or
emerging technologies such as fibre optics. The innovative nature of the
Senceive monitoring solution has been widely recognised, with for example
a high-profile Tunnelling product innovation award being secured in
November 2012 [a].
The impact of adopting the Senceive solution for monitoring projects is
illustrated through a 2011 deployment at Bond Street underground station
[b], which was undergoing a £300m major redevelopment with the objective
of increasing capacity, improving accessibility and creating an
interchange with Crossrail. In the design phase of the project, a need was
identified for grouting works to be undertaken in voids that had formed
around the Jubilee Line tunnel linings in order to stabilise the tunnels
prior to commencement of the station reconstruction works. Early in the
project, it became clear that a highly flexible, safe and reliable system
to monitor movement within existing tunnels during the grouting works was
needed, given the risks to personnel and tunnelling infrastructure if
attempts were made to pump significant amounts of excess grout into the
voids. A solution was delivered which utilised Senceive's high-resolution
wireless tilt meters mounted on tunnel lining segments using novel
magnetic fixings, with individual rotational and linear equivalent
movements being displayed on Senceive's Webmonitor software. Halcrow's
Associate Director Tunnels said of the project: "There was simply no
credible solution other than that developed with Senceive. The system
made significant savings to the cost of the works, which would have
been much more labour-intensive, time-consuming and slower if a
mechanically fixed wired solution had been used" [c]. Tunnelling Journal
estimates that the Senceive solution saved an estimated £1 million
compared to conventional techniques [d]. The Innovation Director at
Costain, another partner on the project, said: "Remote monitoring is an
important service we are providing to our customers. It reduces costs
compared to traditional methods and allows our teams to remotely
monitor assets safely during construction and through the life of
the asset. Remote monitoring is all about providing intelligent solutions
to our customers to enhance their business performance and reducing
the cost of infrastructure delivery. We are pleased to be able to
support Senceive to bring innovation to make our delivery more efficient"
[c].
More recent deployments include a major tunnel re-lining project in
2012/13 on the Jubilee Line between Bond St and Baker St, where Senceive
was retained directly by Tubelines due to the company's unique ability to
satisfy the challenging project-monitoring requirements imposed by
remedial works that needed to be undertaken efficiently during limited
periods (i.e. evenings and selected weekends) when trains did not run. The
problem that Senceive was assisting in resolving was covered by BBC News
[e] and in respect of the Senceive solution, the Lead Tunnel Engineer at
Tubelines said: "Flatmesh and its enhanced integrated communications hub
is an innovative, unique and appropriate combination of leading-edge
technologies, developed by Senceive and specifically adapted for
tunnelling applications. It offers the opportunity for a "totally
wire-free solution" from tunnel to surface for challenging short- and
long-term engineering works for which there is no credible existing
alternative" [f].
In addition since 2012, Amey has used Senceive's solutions on an
increasing number of sites to deliver a structural monitoring capability
for their UK-wide Civil Examination Framework Agreement (CEFA) contract
for Network Rail. [text removed for publication]. Finally, in July 2013,
Senceive secured a major contract with Canary Wharf Contractors to provide
an underground tunnel monitoring system on the Northern and Bakerloo
Lines, as part of the Shell Centre re-development project taking place on
London's South Bank. The significance of this contract was that Senceive's
solution displaced competing monitoring approaches ranging from
laser-based electronic theodolites (feasibility issues due to space
constraints), fibre-optics (expensive and unproven) and wired solutions
(expensive and inflexible) [h] and thus provided strong and timely
evidence of the impacts that wireless monitoring can deliver to the
geotechnical and railway industries.
The overall commercial opportunity that Senceive is addressing in the
rail and construction markets is of significant economic importance, with
the Institute of Civil Engineers (ICE) estimating that the UK alone will
spend around £50 billion per annum until 2030 [i] to address historic
underinvestment, deliver new projects such as HS2 and transition to a
low-carbon economy. The utilisation of Senceive's wireless remote asset
monitoring platform by supply chain partners such as Amey, Costain,
Balfour Beatty Rail and Getec (part of the Keller Group) enables
companies to secure significant competitive advantages when
tendering for construction and maintenance contracts at home and overseas.
More broadly, wireless sensor network technologies remain an area of
significant commercial interest, with market research reports (e.g.
IDTechEx [j]) predicting that the market for wireless sensor network
solutions will grow from around $0.45 billion in 2011 to around $2 billion
by 2021.
Finally from an economic impact perspective, Senceive is a small
but increasingly important contributor to the growth of the
knowledge-based economy in London. The company has achieved its success
after a relatively modest investment, having raised £450,000 of seed
investment together with grants from the London Development Agency &
Technology Strategy Board of £220,000 during the REF impact period.
Company turnover has risen consistently over the past three years, with
the year to 31 July 2013 generating revenues in excess of £600,000 (a
four-fold increase on 2012), whilst from an employment perspective, the
company currently employs eight graduate or higher level staff (2 in 2007)
from offices located in Putney, London [h].
Sources to corroborate the impact
[a] Senceive won Product / Equipment Innovation of the Year at the 2012
International Tunnelling Awards — http://www.tunnellingawards.com/540057
[b] Article in May/June 2013 Tunnelling Journal (pages 40-46) describing
the Jubilee Line remediation project for which Senceive provided the
tunnel monitoring solution.
http://viewer.zmags.com/publication/63a5c32d#/63a5c32d/41
[c] Halcrow's Associate Director Tunnels confirms the advantages of
Senceive monitoring solution and the Innovation Director at Costain PLC
confirms that Senceive's remote monitoring enhances business performance
and reduces the cost of infrastructure delivery.
http://www.senceive.com/wp-content/uploads/2012/12/Press-Release-Int-Tunnelling-Award.pdf
[d] £1m saving reported in Tunnelling Journal, April/May 2013, p.40 http://bit.ly/17uMsBn
[e] For the problems affecting the Jubilee Line, which Senceive is
helping resolve, see "Jubilee Line repair work spread over months", BBC
News 29 April 2013, http://www.bbc.co.uk/news/uk-england-london-22340598
[f] A statement from the Tubelines' Lead Tunnel Engineer's statement
confirms there is no credible existing alternative to Senceive's Flatmesh
for monitoring in tunnels. Available on request.
[g] [text removed for publication]
[h] A statement from the CEO of Senceive Ltd confirms the contract for
the Shell Centre re-development through Canary Wharf Contractors together
with details of investment raised and employment figures. Available on
request.
[i] The ICE's assessment of the rail and construction infrastructure
market:
http://www.tunneltalk.com/ICE-Nov10-Presidential-address.php
[j] The growth in the market for wireless sensor network solutions:
IDTechEx: Wireless Sensor Networks 2011-2021. http://www.idtechex.com/research/reports/wireless-sensor-networks-2011-2021-000275.asp