Industrial internet applications for efficient road winter maintenance

Johan Odelius (Operation and Maintenance Engineering, Division of Operation, Maintenance and Acoustics, Department of Civil, Environmental and Natural Resources Engineering, Luleå University of Technology, Luleå, Sweden)
Stephen Mayowa Famurewa (Operation and Maintenance Engineering, Division of Operation, Maintenance and Acoustics, Department of Civil, Environmental and Natural Resources Engineering, Luleå University of Technology, Luleå, Sweden)
Lars Forslöf (Roadroid AB, Ljusdal, Sweden)
Johan Casselgren (Department of Experimental Mechanics, Luleå University of Technology, Lulea, Sweden)
Heikki Konttaniemi (Arctic Power RDI-team, Lapland University of Applied Sciences, Rovaniemi, Finland)

Journal of Quality in Maintenance Engineering

ISSN: 1355-2511

Publication date: 14 August 2017

Abstract

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 stakeholders’ applications and databases. The purpose of this paper is to present 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.

Keywords

Citation

Johan Odelius, Stephen Mayowa Famurewa, Lars Forslöf, Johan Casselgren and Heikki Konttaniemi (2017) "Industrial internet applications for efficient road winter maintenance", Journal of Quality in Maintenance Engineering, Vol. 23 No. 3, pp. 355-367

Download as .RIS

DOI

: https://doi.org/10.1108/JQME-11-2016-0071

Publisher

:

Emerald Publishing Limited

Copyright © 2017, Emerald Publishing Limited

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