TwinBAS

TwinBAS harnessed the potential benefits of recent technological advancements in distributed sensing, pervasive computing, context-awareness and machine learning and proposed a holistic assessment of a cvil building, resting on three main pillars: (i) indoor environmental conditions; (ii) energy performance; and (iii) the smartness of the building. 

Whole System Decision Making for Railways

This research aimed to develop a practical approach to whole-system and whole-life decision making for railways. A value-based framework to whole system decision making was developed in collaboration with the Asset Management Working Group (AMWG) of the International Union of Railways and AMCL+ to sustainably deliver the desired performance at the lowest whole life cycle cost and risk to all the stakeholders.

Enhancing the Port Efficiency Through 5G and Predictive Data Analysis (5G Ports)

This project brought together the technological advancements in the fields of 5G, IoT and predictive data analytics to improve the efficiency of the operation of the quay cranes at the Port of Felixstowe.

CDBB Digital Twin

This project aimed to provide a demonstrator to address the challenges associated with the production of a National Digital Twin (NDT), an ecosystem of connected digital twins, securely sharing infrastructure and built environment data to support better economic and societal outcomes.

Next Generation Converged Digital Infrastructure

This was an ambitious programme geared to create an agile, resilient internet and telecommunications network capable of meeting the future needs of our rapidly changing society and ensure that the UK’s digital infrastructure continues to be world leading.

SAFEWAY

This research aimed to address the ability of transport systems to function during adverse conditions and quickly recover to acceptable levels of service after extreme events.

Digital Twins for Infrastructure

The objective of this project was to develop a dynamic digital twin of the IfM (and the West Cambridge campus) and demonstrate its impact on facilities management and wider productivity and well-being.

BIM for Asset Management

The focus of this project was on developing tools for integrating different data sources to support whole-life asset management of infrastructure assets and systems.

Data Driven Engineering to Improve the Performance of Asset Maintenance

The project identified, for a given asset type, the data required for through-life management, how to link this to the BIM model to visualise the data & understand the condition of the asset.

Social Network of Machines

This project aimed to deliver a step change in efficiency and performance to the world of manufacturing by bringing together the advances in three domains – the Internet of Things, Social Networking and Engineering Asset Management.

Digital Cities for Change

This project aimed to identify how data and digital tools are impacting the mechanics of policy, governance and management of a city and infrastructure planning and design in practice.

Condition-based Maintenance of Complex Systems

This project aimed to understand how assets affect system performance by modelling complex behaviors of such assets, e.g., interactive deterioration between components in an asset, fault propagation between assets in a system.

Predictive Analytics for Complex Equipment

This project brought together the power of machine learning and predictive data analytics to improve prediction of equipment failures and optimise predictive maintenance strategies.

Information Requirements for Asset Management 

The objectives of this activity were to develop a structured methodology to develop through-life asset information requirements and to develop guidance on how to organise and manage data to support asset management.

BIM Maturity Assessment 

This CSIC-funded project aimed to develop an assessment tool to measure the maturity of information management processes during construction and delivery of infrastructure.

Value of Information

This activity focussed on quantifying the value of condition-monitoring and other asset information in improving through-life asset management decisions.

Value-based Infrastructure Asset Management

This project focussed on developing tools and methodologies to support through-life decision-making and information management for infrastructure assets such as rail networks, bridges and highways.

Management of Asset Portfolios

This research addressed an increasing need in the industry to manage investments across large asset portfolios based on the associated risk of assets.

Testing The Water: Infrastructure Futureproofing for Liverpool Wastewater Treatment Works

Our futureproofing assessment and planning tools assist asset intensive infrastructure companies to help identify what the lasting value will be for an infrastructure.

Sustainable Design and Management of Industrial Assets

Funded by the EU H2020 programme, this project aimed to develop a framework that helps industries understand and manage the whole-life cost and value generated by their assets.

Asset Management System Performance

This project aimed at developing a framework for developing performance measures for asset management systems.

Criticality Based Maintenance

This research addressed an increasing need in the industry to prioritize maintenance activities and investments based on the criticality and associated risk of assets.

Infrastructure Futureproofing

This project aimed at developing a framework to understand the futureproofing needs of infrastructure assets, and to develop a tool to measure the level of futureproofedness of such systems.

Intelligent Failure Diagnosis

Funded by Hitachi Rail, this activity developed a fault-diagnostic system and fault-data management system for locomotives.

Information Quality for Asset Management (IQAM)

IQAM was an EPSRC funded project that aims to develop a methodology and tool to quantify and optimise information quality in the context of asset management to improve the economic sustainability of asset-intensive organisations.

Information futureproofing

The aim of this project was to develop a tool that will help identify and measure the long-term risks associated with the management of infrastructure information.

Strategies for Asset Information Management (SAIM)

SAIM aimed to develop and test new strategies for managing information associated with complex engineering assets. In particular, we aimed to examine and demonstrate the impact of key emerging technologies such as Radio Frequency Identification (RFID) on the effectiveness with which these assets are managed throughout their lifecycle - particularly during the usage and retirement phases.