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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 />

71

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