{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,20]],"date-time":"2026-05-20T18:30:28Z","timestamp":1779301828792,"version":"3.51.4"},"reference-count":50,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2024,10,14]],"date-time":"2024-10-14T00:00:00Z","timestamp":1728864000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100008397","name":"The Velux Foundations","doi-asserted-by":"publisher","award":["38917"],"award-info":[{"award-number":["38917"]}],"id":[{"id":"10.13039\/100008397","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems"],"abstract":"<jats:p>The introduction of remote sensing technologies, AI and big data analytics in the utility sector is warranted by the need to provide critical services with the least disruption to customers, but also to enable preventive maintenance, extend the life cycle of infrastructure components and reduce grid loss\u2014or overall, to exhibit \u2018durability\u2019 and \u2018resilience\u2019 when faced with the certainty of breakage and decay. In this paper, we first explore the concept of \u2018resilience\u2019 and the nature of practice from a performativist perspective in order to set the scene for discussing the impact of \u2018datafication\u2019 on maintenance practices and infrastructure durability. We then describe an instance of introducing remote sensing technologies in district heating network surveillance and leak detection: drone-operated thermographic cameras and underground wire sensors. Based on insights from this case study, we discuss the specificity of data-driven infrastructure maintenance practices, and what it means to exhibit practical resilience in relation to how such practices unfold, interrelate and evolve over time. We reflect on how the use of remote sensing technologies and data analytics (1) potentially changes district heating workers\u2019 epistemic worlds (i.e., how knowledge emerges, is negotiated and ordered in practice) and (2) provides opportunities for \u2018messy\u2019 pipe repair work to tacitly adopt proactive and preventive logics to meet continuously evolving organizational and societal needs.<\/jats:p>","DOI":"10.3390\/systems12100431","type":"journal-article","created":{"date-parts":[[2024,10,14]],"date-time":"2024-10-14T12:44:31Z","timestamp":1728909871000},"page":"431","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["From Reactive to Proactive Infrastructure Maintenance: Remote Sensing Data and Practical Resilience in the Management of Leaky Pipes"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6142-6919","authenticated-orcid":false,"given":"Rasmus","family":"Gahrn-Andersen","sequence":"first","affiliation":[{"name":"Research Group for Computational & Organizational Cognition, Department of Culture and Language, University of Southern Denmark, 5230 Odense, Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2224-8093","authenticated-orcid":false,"given":"Maria","family":"Festila","sequence":"additional","affiliation":[{"name":"Research Group for Computational & Organizational Cognition, Department of Culture and Language, University of Southern Denmark, 5230 Odense, Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,10,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Kahraman, C., and \u00c7evik Onar, S. 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