Miten teollinen internet parantaa talvihoitoa? Tule Talvitiepäiville kuulemaan lisää!17/01/2018 / 0 kommenttia / Tagit : digitalisaatio, infra, IoT, kunnossapito
Talvitiepäivät 2018 järjestetään 7.-8.2.2018 Lahden Messukeskuksessa. Virve Karsisto (Ilmatieteen laitos), Johan Odelius (Luleå University of Technology) ja Umair Najeeb (The Arctic University of Norway) esittelevät seminaarissa uutta tutkimustaan teollisen internetin roolista talvihoidossa. Tämä artikkeli on lyhyt johdatus aiheeseen – Talvitiepäivillä pääset kuulemaan lisää tästä ja monista muista tieaiheista (ks. ohjelma)!
Towards Industrial IoT in Winter Road Maintenance
Efficient winter road maintenance in the future is essential for road safety with growing transportation needs in the North. With new investments in the tourism and industries, it must be ensured that the road infrastructure is ready to keep the roads safe and accessible in all weather conditions. Current road weather station network is too sparse in the Northern Scandinavia to provide enough road condition information for efficient road maintenance.
The Internet of Things (IoT) will enable new methods for gathering information in much more broader and more detailed scale in the future. Vehicles itself can act as sensors for measuring for example road surface temperature and ice on the road. The detailed data can be used in forecasting the future road conditions and in automated road maintenance planning. Advanced communication technologies will enable data transfer at high speed between connected devices and sensors.
These technologies are demonstrated in an on-going joint project between Finland, Sweden and Norway. The project is called WiRMa (Industrial internet Applications in Winter Road Maintenance) and it has three case study areas. The first is located in an urban road network in Luleå, Sweden, the second contains a rural road network in Lapland the third is located in Narvik, Norway. Road condition information is gathered from several sources including sensors installed in local buses and industrial trucks. In addition to existing sensors, new optical measurement methods will be tested to provide better characterization of road surface. The data will be gathered on IoT-platform specified for collecting and communication road condition information in real time.
Road condition information gathered from vehicles is implemented to the road weather forecasting system. The detailed information enables more accurate road condition forecasts for the road stretches where the mobile measurements are available. The project aims to support road maintenance decision making by developing methodologies for winter road condition assessment based on the observations and the forecasts. Also a mathematical model will be developed to support optimal winter maintenance planning.
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