Sensor fusion and enhanced sensor analytics for tram switch heating
In cities, ice regularly blocks tram switches. We pointed out a way how to use already operating mobile sensors to provide local temperature measurements and optimize the operation of the switch heating system. This cross-domain approach combines sensor data from elective vehicles of a car sharing provider with weather forecasts, tram switch data, energy prices and workforce management data.
Lack of data on the actual state of tram switches
Mapping and combining diverse datasets from various data sources
How to optimize workforce to operate manual tram heating switches
Together with our partner ELOOP and the customer, we identified the sensors and data required for this cross-domain challenge. In conjunction with the business needs of the customer, we derived the next steps to deliver the proof of value.
What did we change for the customer?
What did we build for the customer?
A dashboard that visualizes the aggregated actual and historical temperature data at the tram switch location, providing decision support for tram switch heating. The dashboard is based on data analytics and integration of diverse sensor data sources under the hood.
Demonstrating how to save energy and reduce frozen switches with optimized tram switch heating operation based on local real-time data.
lower energy cost through optimized switch heating
workforce allocation allows customer to move parts of the workforce to other important tasks