Completed Engineering Economics & Business

Innovation and Knowledge Centre for Smart Infrastructure and Construction - Collaborative Programme Tranche 1

In plain English

AI plain-English summary

Engineers are embedding sensors and data tools into roads, bridges, tunnels, and buildings to monitor their health in real time and predict when they will fail. The UK’s infrastructure—roads, railways, power grids, water systems—is ageing, and much of it was built without any way to measure its internal condition. Currently, owners rely on visual inspections and fixed schedules for maintenance, which are costly and often miss hidden deterioration. This project aims to replace guesswork with data: fibre-optic cables, wireless sensor networks, computer vision, and radio-frequency tags that track stress, corrosion, and movement from construction through decades of use. If the research succeeds, infrastructure owners could shift from reactive repairs to predictive management. Bridges would be repaired only when sensors show they need it, not on a calendar. New construction would embed monitoring from the start, reducing waste and extending lifespan. The centre also develops manufacturing and supply-chain methods to make these technologies cheap enough for widespread adoption. The work is applied, not fundamental science. It directly targets commercial deployment: licensing sensor systems to construction firms, IT companies, and infrastructure operators. Success would give UK firms a competitive edge in the global construction market while making the country’s physical assets safer and cheaper to maintain.

View original technical description
Infrastructure represents a large part of the UK's asset base, and its efficient management and maintenance are vital to the economy and society. The application of emerging technologies to advanced health monitoring of existing critical infrastructure assets can help to better quantify and define the extent of ageing and the consequent remaining design life of infrastructure, thereby reducing the risk of failure. Emerging technologies also have the potential to transform the industry through a whole-life approach to achieving sustainability in construction and infrastructure in an integrated way - design and commissioning, the construction process, exploitation and use, and eventual de-commissioning. Crucial elements of these emerging technologies include the application of the latest sensor technologies, data management tools and manufacturing processes to the construction industry, both during infrastructure construction and throughout its life. There is a substantial market for exploitation of these technologies by the construction industry, particularly contractors, specialist instrumentation companies and owners of infrastructure. In this proposal, we seek to build on the creation of the Innovation and Knowledge Centre for Smart Infrastructure and Construction which brings together leading research groups in the University of Cambridge Departments of Engineering and Architecture, Computer Laboratory and Judge Business School. The Collaborative Programme will see these groups working with industrialists and other critical stakeholders on challenging research projects which deliver practical solutions to the problems that industry faces and which promote the dissemination and adoption of valuable emerging technologies. The development and commercialisation of emerging technologies can provide radical changes in the construction and management of infrastructure, leading to considerably enhanced efficiencies, economies and adaptability. The objective is to create 'Smart Infrastructure' with the following attributes: (a) minimal disturbance and maximum efficiency during construction, (b) minimal maintenance for new infrastructure and optimum management of existing infrastructure, (c) minimal failures even during extreme events (fire, natural hazards, climate change), and (d) minimal waste materials at the end of the life cycle. The Centre focuses on the innovative use of emerging technologies in sensor and data management (e.g. fibre optics, MEMS, computer vision, power harvesting, Radio Frequency Identification (RFID), and Wireless Sensor Networks). These are coupled with emerging best practice in the form of the latest manufacturing and supply chain management approaches applied to construction and infrastructure (e.g. smart building components for life-cycle adaptive design, innovative manufacturing processes, integrated supply chain management, and smart management processes from building to city scales). It aims to develop completely new markets and to achieve breakthroughs in performance. Considerable business opportunities will be created for construction companies, and for other industries such as IT, electronics and materials. The Centre is able to respond directly and systematically to the input received from industry partners on what is required to address critical issues. Through the close involvement of industry in technical development as well as in demonstrations in real construction projects, the commercialisation activities of emerging technologies can be progressed to a point where they can be licensed to industry. The outputs of the Centre can provide the construction industry, infrastructure owners and operators with the means to ensure that very challenging new performance targets can be met. Furthermore breakthroughs will make the industry more efficient and hence more profitable. They can also give UK companies a competitive advantage in the increasingly global construction market.

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Researchers

Ajith Kumar Narayanan Parlikad (Co-Investigator)Ashwin Seshia (Co-Investigator)Campbell Middleton (Co-Investigator)Cecilia Mascolo (Co-Investigator)Duncan McFarlane (Co-Investigator)Jon Crowcroft (Co-Investigator)Julian Allwood (Co-Investigator)Kenichi Soga (Co-Investigator)Lord Robert Mair (Principal Investigator)Marcial Echenique (Co-Investigator)Paul Heffernan (Co-Investigator)Roberto Cippola (Co-Investigator)Stefan Scholtes (Co-Investigator)Ying Jin (Co-Investigator)

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Original classification

Research Grant

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