Smart Industry 1/2017
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photo ©: Hajo Dietz, Nürnberg Luftbild<br />
Norway has more than 1,800 road<br />
bridges nationwide and many are<br />
located in the countryside far from<br />
any large city. UAV systems builder<br />
Orbiton, based near Lillehammer is<br />
using drones to inspect these remote<br />
sites. The company's technical director<br />
Gonzalo Figueroa says drones make<br />
inspections easier and cheaper without<br />
disturbing daily traffic.<br />
Statens Vegvesen, the Norwegian<br />
public road authority, has contracted<br />
Orbiton to conduct regular inspections<br />
on 80 bridges in the Østlandet<br />
region of Eastern Norway, which<br />
includes the capital city of Oslo.<br />
Prior to 2015, inspections were done<br />
with the help of what Gonzales calls<br />
"snooper trucks" – vehicles with a<br />
flexible crane to move an inspection<br />
engineer alongside and underneath<br />
the bridges. The vehicles are expensive<br />
to buy and costly to maintain. They<br />
also cause massive road obstructions<br />
so signs need to be erected and staff<br />
allocated to direct traffic – in many<br />
cases the bridge must be closed<br />
down completely for inspections that<br />
can take hours. Consequently, the<br />
work was often conducted at night,<br />
which made it even harder to detect<br />
problems.<br />
Using inspection drones provided by<br />
Ascending Technologies, a German<br />
manufacturer, allows Orbiton to do the<br />
work during daytime hours without<br />
causing any disruption. Instead of<br />
needing a team of seven to 10 specialists,<br />
a bridge can now be inspected by<br />
two staff, and in much less time.<br />
Fixed sensors<br />
Doing regular inspections at lower<br />
cost and with a higher frequency will<br />
help detect failing structures earlier.<br />
An even better idea, many believe,<br />
is to install sensors on the bridges<br />
themselves and thus be able to collect<br />
information about structural problems<br />
directly and around the clock.<br />
Bird's eye perspective: Though the top-view gives no hints of it, this is an intelligent bridge.<br />
An even<br />
better idea<br />
is to install<br />
sensors in<br />
the bridges<br />
themselves<br />
and collect<br />
data around<br />
the clock<br />
Sensors are like eyes<br />
and ears<br />
Some examples for the<br />
integration of sensors into<br />
the “smart bridge”<br />
To this end, the German Ministry for<br />
Traffic and Digital Infrastructure (BMVI)<br />
launched a <strong>Smart</strong> Bridge project<br />
last year under its Digitales Testfeld<br />
Autobahn (Digital Highway Field<br />
Test) initiative. The first ‘intelligent’<br />
bridge was opened for traffic near<br />
Nuremburg in Bavaria last October.<br />
The so-called <strong>Smart</strong> Bridge connects<br />
two motorways and sensors provide a<br />
constant stream of information needed<br />
to evaluate its status. Three types<br />
of sensors are required to monitor<br />
and analyze elements that may affect<br />
the bridge: structural integrity, traffic<br />
patterns and usage.<br />
The Universität der Bundeswehr<br />
München (German Federal Armed<br />
Forces University, Munich) in cooperation<br />
with Maurer Söhne, an<br />
engineering company also based<br />
in Munich, developed an Intelligent<br />
Track Transition module for the project.<br />
These high-end sensors are fitted<br />
inside the bridge’s expansion joints<br />
to detect vehicle speed, weight, the<br />
number of axles and the distance between<br />
them. The system can use this<br />
data to dynamically calculate axle<br />
loadings.<br />
The <strong>Smart</strong> Bridge project also includes<br />
Intelligent Sensor Networks<br />
being developed by the Institute of<br />
Telematics at the University of Lübeck<br />
to monitor the bridge structure. In<br />
addition, a road traffic management<br />
system developed in the city of<br />
Weimar by the Bauhaus University and<br />
civil engineering firm Ingenieurbüro<br />
Freundt will gather further traffic data<br />
for the analysis.<br />
Together the systems build a digital<br />
model of the bridge in real time by<br />
transferring the data by Wi-Fi locally<br />
for testing and calibration. The data<br />
will then be beamed over the internet<br />
to scientists and maintenance crews<br />
using web-based interfaces to view<br />
and analyze the collected data in realtime<br />
using evaluation algorithms.<br />
The current evaluation is expected<br />
to take at least five years and the<br />
Federal Highway Research Institute<br />
(BASt) has high hopes for transferring<br />
and applying the results of the test to<br />
other new bridge projects as well as<br />
to existing structures.<br />
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