STIB-MIVB (Brussels Intercommunal Transport Company) is the public
transport operator in Brussels, Belgium. More than 1,300 vehicles
(tram, bus, and metro) operate on the STIB-MIVB lines, moving an
equivalent of the entire Brussels population on a daily basis.
Performing efficient and robust monitoring of the STIB-MIVB tram
infrastructure is of the utmost importance to ensure the smooth
running of their operations. However, despite the STIB-MIVB maintenance
efforts, trams break down on average once every 2 weeks due to issues
with electrical lines, causing delays, traffic and many unhappy
citizens of Brussels.
To avoid these problematic situations, this project had
several objectives. First, to anticipate and detect mechanical
problems on overhead lines in near real-time. Secondly, to collaboratively
develop and implement an efficient monitoring tool for the
STIB-MIVB maintenance staff. Thirdly, to optimize the developed
solution performance and resource consumption.
Our team collaborated extensively with STIB-MIVB and
Bagaar to develop an innovative monitoring system based on a
custom data processing and AI driven camera system.
We developed an AI-driven image processing solution to detect
key points on electrical lines and deliver pertinent information
regarding the network state in near real time. The state-of-the-art
tool has undergone meticulous optimisation to guarantee high-level
accuracy while maintaining low resource consumption, striking a balance
between performance and cost efficiency.
Our developers conceived and implemented a visual platform,
showcasing the gathered data directly onto a dynamic map of Brussels.
The innovative solution allows for easy and efficient daily diagnostics,
thus significantly improving the efficiency of network monitoring.
Furthermore, to ensure seamless network maintenance,
we integrated automatic alarms and alerts into the system. The feature
is designed to detect any anomalies promptly, providing the opportunity
to conduct preventive maintenance on trams and electric lines, and thereby
mitigating the risk of major disruptions or malfunctions.
Our AI-driven solution combined the development of a custom
data management system and the use of AI on video data to provide near
real-time monitoring of the STIB-MIVB tram network. The benefits of this
project are manifold as it helps the network maintenance crew with their
day-to-day operations and ensures the reliability of the network for its
many daily users.