Building an Ecosystem to PROACTively develop data-driven asset management

ongoingprojectoutputs

Society depends on critical infrastructure assets e.g. highways/traffic management systems, built environment and water plants to perform their purpose, be secure and reliable, and to avoid significant economic impact. Ideally, “Talking Assets” could predict and proactively report its health status e.g. repair need before potential failure. This and other benefits can be realised through data-driven asset management that is more efficient, sustainable, and safer. But this transformation involves intense common challenges for all stakeholders, while authorities in charge of most assets are often under pressure. Urgency arises, as many assets face end-of-life cycle problems, compounded by a shortage of skills and budget to renovate and replace assets. Transnational cooperation will lower implementation barriers through joint learning and implementation of solutions. NWE partners hold solutions for these challenges, but need a well-coordinated approach to transform the “running system” of authorities. BEPROACT is the first transnational project to tackle these challenges, producing an accessible and replicable pathway with key services to all stakeholders. The implementation, transnational uptake and scale up, supports the territorial and digital resilience: lengthening asset’s lifetime, preventing failure, 10% cost saving in maintenance, just in time renovation, safer work environment and a more sustainable approach. Benefits for critical Infrastructure providers and users. 3 WPs: 1. Strategy: develop a custom-fit digital transformation and smart maintenance strategy for NWE organisations and asset types, coordinated in a “data enrichment cycle” (see WP1) 2. Assets: transnational planning and implementation of 15 innovative solutions in 6 different asset systems 3. People: creating implementable, replicable, accessible training schemes and knowledge platforms, anchoring the project’s results in NWE territories, multiple infrastructure authorities and academia.

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