Infrastructure information management of bridges at local authorities in the UK

Behind the largest infrastructure construction projects currently underway is a system of managing information known as Building Information Modelling (BIM). This represents a collaborative approach to civil engineering and makes use of advances in computer technology to link seamlessly many information repositories together across organisational boundaries. Alongside the developments in BIM, the world of asset management has also seen a major leap forward with the release of ISO 5500x – the family of international standards for asset management. This is now being adopted by many industries – particularly those in the infrastructure sectors – to maximise the value which is returned from their assets. In addition, the Highways Maintenance Efficiency Programme has released a guidance for highway authorities wishing to improve their asset management systems. However, infrastructure managers in local authorities such as county councils are significantly less engaged in both of these developments than their counterparts in strategic infrastructure networks. This paper presents the findings of a study of the ‘information system landscape’ at local authorities from across England, UK. The study reveals a number of recurring information management challenges that are frequently present. The paper finally provides a number of recommendations with specific reference to information management and encourages councils to consider adopting the standards. EPSRC/Innovate U

City-Level Digital Twin Experiment for Exploring the Impacts of Digital Transformation on Journeys to Work in the Cambridge Sub-region

The project explores the possible impacts of digital transformation on journeys to work through the development of a city-level digital twin (CDT) prototype that integrates data, models and insights from multiple disciplines and sectors. The research includes three work packages, 1) empirical investigation of key factors affecting worker’s choice on place of work (e.g. fixed workplace, work at/from home) and on travel mode in the Cambridge sub-region; 2) developing a digital twin prototype including a web-based interface for simulating journeys to work and testing two digital transformation scenarios (prevalence of teleworking, future charging demand of electric vehicles); 3) engaging with local authorities, modelling experts and other key stakeholders to collect feedback on the application and future development of CDT. The CDT prototype is co-developed with local authorities, through which a productive partnership has been established. The project also collaborates with academics across Cambridge and at UCL. Key research outputs are discussed in the report and a series of working propositions are proposed, which may guide the future research on CDT

Evaluation criteria for information quality research

Evaluation of research artefacts (such as models, frameworks and methodologies) is essential to determine their quality and demonstrate worth. However, in the information quality (IQ) research domain there is no existing standard set of criteria available for researchers to use to evaluate their IQ artefacts. This paper therefore describes our experience of selecting and synthesising a set of evaluation criteria used in three related research areas of information systems (IS), software products (SP) and conceptual models (CM), and analysing their relevance to different types of IQ research artefact. We selected and used a subset of these criteria in an actual evaluation of an IQ artefact to test whether they provide any benefit over a standard evaluation. The results show that at least a subset of the criteria from the other domains of IS, SP and CM are relevant for IQ artefact evaluations, and the resulting set of criteria, most importantly, enabled a more rigorous and systematic selection of what to evaluate.This is the author accepted manuscript. The final version is available from InderScience via https://doi.org/10.1504/IJIQ.2016.1000404

Federated Learning for Collaborative Prognosis

Modern industrial assets generate prodigious condition monitoring data. Various prognosis techniques can use this data to predict the asset’s remaining useful life. But the data in most asset fleets is distributed across multiple assets, bound by the privacy policies of the operators, and often legally protected. Such peculiar characteristics make data-driven prognosis an interesting problem. In this paper, we propose Federated Learning as a solution to the above mentioned challenges. Federated Learning enables the manufacturer to utilise condition monitoring data without moving it away from the corresponding assets. Concretely, we demonstrate Federated Averaging algorithm to train feed-forward, and recurrent neural networks for predicting failures in a simulated turbofan fleet. We also analyse the dependence of prediction quality on the various learning parameters.1. Siemens Industrial Turbomachinery U

The impact of government measures and human mobility trend on COVID-19 related deaths in the UK

The COVID-19 global pandemic has rapidly expanded, with the UK being one of the countries with the highest number of cases and deaths in proportion to its population. Major clinical and human behavioural measures have been taken by the UK government to control the spread of the epidemic and to support the health system. It remains unclear how exactly human mobility restrictions have affected the virus spread in the UK. This research uses driving, walking and transit real-time data to investigate the impact of government control measures on human mobility reduction, as well as the connection between trends in human-mobility and severe COVID-19 outcomes. Human mobility was observed to gradually decrease as the government was announcing more measures and it stabilized at a scale of around 80 % after a lockdown was imposed. The study shows that human-mobility reduction had a significant impact on reducing COVID-19-related deaths, thus providing crucial evidence in support of such government measures

Road Network Layout Planning based on Evaluation of Connectivity and Asset Criticality

State of the art research in ensuring transport infrastructure resilience focuses on adopting a network perspective. However, there is no comprehensive, widespread method for evaluating connectivity and proposing alternative routes to improve it. Presented herein is a framework that: assesses road network connectivity, using a “closeness” measure and focusing on routes passing by the vulnerable asset of bridges; and proposes the development of optimal alternative routes, using a genetic algorithm. The results showed a significant improvement of network connectivity and the potential of the method to serve as the basis for updated transport infrastructure planning practices.H2020 Programme MG7-1-2017 Resilience to extreme (natural and man-made) events, under Grant [769255] ‘‘GIS-based infrastructure management system for optimized response to extreme events of terrestrial transport networks (SAFEWAY)’’

Imperfect Preventive Maintenance Policies With Unpunctual Execution.

Traditional maintenance planning problems usually presume that preventive maintenance (PM) policies will be executed exactly as planned. In reality, however, maintainers often deviate from the intended PM policy, resulting in unpunctual PM executions that may reduce maintenance effectiveness. This article studies two imperfect PM policies with unpunctual executions for infinite and finite planning horizons, respectively. Under the former policy, imperfect PM actions are periodically performed and the system is preventively replaced at the last PM instant. The objective is to determine the optimal number of PM actions and associated PM interval so as to minimize the long-run average cost rate. While the latter policy specifies that a system is subject to periodic PM activities within a finite planning horizon and there is no PM activity at the end of the horizon. The aim is then to identify the optimal number of PM activities to minimize the expected total maintenance cost. We discuss the modeling and optimization of the two unpunctual PM policies, and then explore the impact of unpunctual executions on the optimal PM decisions and corresponding maintenance expenses in an analytical or numerical way. The resulting insights are helpful for practitioners to adjust their PM plans when unpunctual executions are anticipated

Becoming Digital: Enacting Digital Transformation in Construction Projects

Digital transformation is often conceptualised as an accomplished event; however, conceptualising it as something that organisations accomplish does not capture the features of the change process. In this study, we analyse digital transformation at the inter-organisational level (i.e. construction projects context) and conceptualise it as a dynamic change process that people enact. More specifically, we investigate the implementation of building information modelling (BIM) in construction projects, adopting a practice-based approach to explore the change process and how BIM is institutionalised in practice. We propose a preliminary conceptual model of the institutionalisation of BIM as a structuration process. Based on ethnographic data, our findings revealed two main characteristics of the process of institutionalising BIM in projects, i.e. path dependency and contingency upon institutional fields. Through our findings, we offer insights into both the literature and practice on how digital transformation in project-based contexts occurs in practice

Multi-Agent Systems and Complex Networks: Review and Applications in Systems Engineering

Systems engineering is an ubiquitous discipline of Engineering overlapping industrial, chemical, mechanical, manufacturing, control, software, electrical, and civil engineering. It provides tools for dealing with the complexity and dynamics related to the optimisation of physical, natural, and virtual systems management. This paper presents a review of how multi-agent systems and complex networks theory are brought together to address systems engineering and management problems. The review also encompasses current and future research directions both for theoretical fundamentals and applications in the industry. This is made by considering trends such as mesoscale, multiscale, and multilayer networks along with the state-of-art analysis on network dynamics and intelligent networks. Critical and smart infrastructure, manufacturing processes, and supply chain networks are instances of research topics for which this literature review is highly relevant

The local governance of digital technology – Implications for the city-scale digital twin

The project set out to examine how governance structures, processes and socio-political systems affect the adoption of new (digital) technologies – e.g. City Digital Twins – that provide evidence for policy making and implementation in urban planning and the management of urban infrastructures. Situating City Digital Twins as next-generation urban models, we analysed the existing practice of using computerised models to support decision-making in the multi-actor governance context of the Cambridge city region in the United Kingdom. The study traced modelling practices and evidence informed decision-making processes across a variety of sectors: transport, energy, land-use planning and telecommunications. Outcomes include the mapping of governance stakeholders in the wider Cambridge area, and the analysis of network relationships, to develop recommendations for the design and implementation of a Cambridge City Digital Twin. The role of citizens in the production of evidence was also examined with a participatory research approach to analysing citizen engagement initiatives and the impact of digital tools on democracy, participation and transparency in the local context. The results of the Cambridge case study are contrasted with international practice and global experiences pertinent to City Digital Twins in British, European and international cities. This comparative perspective provides initial insights to understand generalisation possibilities from the Cambridge case study