Towards standardized guidelines in digital data acquisition for monitoring and maintenance of European transport infrastructures

Author:

Justo Andrés1,Sánchez‐Rodríguez Ana2,Varela María3,Arias Pedro1

Affiliation:

1. CINTECX, Universidade de Vigo, GeoTECH Group. As Lagoas, Marcosende 36310 Vigo Spain

2. ICITECH, Universitat Politècnica de València. Camino de Vera s/n 46022 Valencia Spain

3. Ingeniería Insitu SL. CITEXVI, Fonte das Abelleiras s/n 36310 Vigo Spain

Abstract

AbstractThe digital transformation of the architecture, engineering, and construction sector is associated with an enormous production of data. The appearance of new technologies is leading the way for more sustainable and interconnected infrastructures. Therefore, data analytics is crucial to know the current state of infrastructure and will help towards the efficient management of assets. The main issue is how to collect and exploit meaningful data throughout the lifecycle of infrastructure assets to further allow human experts and computers to make accurate diagnostics, predictions, and decisions. This contribution presents the insights gained in the course of IM‐SAFE project, showing the strategy followed to create guidelines for data collection to monitor and maintain critical assets in the infrastructure network (bridges and tunnels). It tackled a variety of surveying technologies, from destructive and non‐destructive, to chemical methods, among others. The results obtained will support the European Committee for Standardization (CEN) in the standards for monitoring and maintenance of bridges and tunnels, accelerating the adoption of new standards by public authorities and stakeholders in transport infrastructure.

Funder

Universidade de Vigo

Ministerio de Ciencia e Innovación

Horizon 2020 Framework Programme

Publisher

Wiley

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference9 articles.

1. Construction sector (n.d.).https://single-market-economy.ec.europa.eu/sectors/construction_en(accessed February 23 2023).

2. A.Borrmann M.König C.Koch J.Beetz Building information modeling: Why? What? How? Building Information Modeling: Technology Foundations and Industry Practice. (2018) pp.1–24.https://doi.org/10.1007/978-3-319-92862-3_1.

3. U.Isikdag G.Aouad J.Underwood S.Wu Building information models: a review on storage and exchange mechanisms in:Proceedings of 24th W78 Conference: Bringing ITC Knowledge to Work Maribor 2007: pp.135–144.http://itc.scix.net/paper/w78_2007_97(accessed February 8 2023).

4. M.P.Gallaher A.C.O'Conor J.L.Dettbarn L.T.Gilday Cost Analysis of Inadequate Interoperability in the U.S. Capital Facilities Industry National Institute of Standards & Technology. (2004).https://doi.org/10.6028/NIST.GCR.04-867.

5. IM SAFE project (n.d.).https://im-safe-project.eu/(accessed February 23 2023).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3