This article is the first in our series of "Use Cases". Due to contractual agreements and/or sensitive information it is not up to us to freely share all details about every single past, ongoing or future project. However, we hope that these cases will give you an idea of what we do at Zensor. Don't hesitate to contact us if you'd like to know what solution we have for your infrastructure.
Who: Infrabel, TUC RAIL, Denys
Where: Anderlecht, Belgium
Why: Long-term follow-up of the stability of ground anchors in an embankment
What: Tracking of potential fields and the likelihood for material loss due to stray currents
How: Sensor monitoring, cloud-based analysis, live dashboards, automatic event detection, advanced analysis algorithms
Since 2016 Zensor is involved in a project with Infrabel, the Belgian rail infrastructure operator. The other partners involved are TUC Rail, a rail engineering company, and the specialty contractor Denys. The scope of the project is the extended follow-up of the stability of ground anchors in an embankment.
The influence of stray currents on underground steel structures is of particular interest, because of the location near railroads. Stray currents are a familiar phenomena in the rail industry, yet few are able to predict the effect of it on the surrounding metal assets like ground anchors, overhead line pylons, bridge supports and many others.
By providing a complete set of services, we were able to offer a fully integrated solution. The installation of the sensors and anchors was a delicate operation considering it occurred simultaneously. However, the sensors were securely attached to the anchors as a result of thorough preparations by all teams.
The first results showed us that optimal data quality is being retrieved from the sensors. All data is collected locally, and subsequently sent over a wireless connection to our cloud-based analysis server. The analysis process involves tracking of potential fields, as well as tracking the likelihood for material loss due to the stray currents. The data is processed through live dashboards, automated event detection and advanced analysis algorithms.
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