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Industrial internet applications for efficient road winter maintenance
Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.ORCID-id: 0000-0002-0216-5058
Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.ORCID-id: 0000-0001-9843-5819
Roadroid AB Ljusdal .
Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, Strömningslära och experimentell mekanik.
Vise andre og tillknytning
2017 (engelsk)Inngår i: Journal of Quality in Maintenance Engineering, ISSN 1355-2511, E-ISSN 1758-7832, Vol. 23, nr 3, s. 355-367Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Purpose: For the expected increase in the capacity of existing transportation systems and efficient energy utilisation, smart maintenance solutions that are supported by online and integrated condition monitoring systems are required. Industrial Internet is one of the smart maintenance solutions, which enables real-time acquisition and analysis of asset condition by linking intelligent devices with different stakeholdersᅵ applications and databases. This paper presents some aspects of Industrial Internet application as required for integrating weather information and floating road condition data from vehicle mounted sensors to enhance effective and efficient winter maintenance.

Design/methodology/approach: The concept of real-time road condition assessment using in-vehicle sensors is demonstrated in a case study of a 3.5 km road section located in northern Sweden. The main floating data sources were acceleration and position sensors from a smartphone positioned on the dash board of a truck. Features extracted from the acceleration signal were two road roughness estimations. To extract targeted information and knowledge, the floating data were further processed to produce time series data of the road condition using Kalman filtering. The time series data were thereafter combined with weather data to assess the condition of the road.

Findings: In the case study, examples of visualisation and analytics to support winter maintenance planning, execution, and resource allocation were presented. Reasonable correlation was shown between estimated road roughness and annual road survey data to validate and prove the presented results wider applicability.

Originality/value: The paper describes a concept of floating data for an industrial internet application for efficient road maintenance. The resulting improvement in winter maintenance will promote dependable, safe and sustainable transportation of goods and people, especially in northern Nordic region with harsh and sometimes unpredictable weather conditions.

sted, utgiver, år, opplag, sider
Emerald Group Publishing Limited, 2017. Vol. 23, nr 3, s. 355-367
HSV kategori
Forskningsprogram
Drift och underhållsteknik; Experimentell mekanik
Identifikatorer
URN: urn:nbn:se:ltu:diva-65114DOI: 10.1108/JQME-11-2016-0071Scopus ID: 2-s2.0-85027974857OAI: oai:DiVA.org:ltu-65114DiVA, id: diva2:1133464
Merknad

Validerad;2017;Nivå 2;2017-08-28 (andbra)

Tilgjengelig fra: 2017-08-15 Laget: 2017-08-15 Sist oppdatert: 2018-06-25bibliografisk kontrollert

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Odelius, JohanFamurewa, Stephen MayowaCasselgren, Johan

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