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Condition Based Maintenance of Rail Infrastructure Using Internet of Things Loggers

Reference number
Coordinator Luleå tekniska universitet - Avdelningen för Drift, underhåll och akustik
Funding from Vinnova SEK 1 000 000
Project duration October 2016 - October 2018
Status Completed
Venture The strategic innovation program InfraSweden

Purpose and goal

Shift of road transport to rail is an important sustainability target. However, increasing rail transportation requires reliability and therefore efective maintenance. Deterioration and can be detected at an early stage by condition monitoring using sensor. However, condition monitoring systems are usually expensive. The purpose of this project is to develop a data acquisition unit for railway condition monitoring based on cheap sensors and open electronics. The goal of the project is to determine the prototype features and usefulness in track at the end of the project.

Expected effects and result

We have within the project: - Evaluated sensors in lab, designed a prototype and carried out field tests - Conduct an idea generation workshop (ISBN 978-91-7583-989-9) - Written a research report (ISBN: 978-91-7790-265-2) - The Swedish Transport Administration has specified requirements and procured measuring units - Authored a section in In2Rail D2.4 EU-project - Developed a new course at LTU (D0020B, IoT) and added parts into other courses - Two BSc degree projects in the field have been completed - Developed in parallel data acquisition unit at Sweco, Trafikverket, Damill and LTU

Planned approach and implementation

After the start-up meeting, we conducted a workshop with the 635-method, to answer the questions where, what and how to measure. The workshop resulted in approx. 40 questions when entering or expanding sensors in railways, as well as approx. 80 ideas on applications/phenomena for sensors in railways. Prototypes were developed in parallel within the project group. In recurring meetings during the course of the project, we exchanged experiences. The prototype we developed at Luleå University of Technology, together with the project partners, we evaluated in lab and in field.

External links

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 8 January 2019

Reference number 2016-03314

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