Despite Stimulus Money, Most U.S. Bridges Might Stay Dumb
From IEEE Spectrum online:
Sensors are starting to prove themselves in the biggest, most complex bridges, but the technology isn’t ready for the hundreds of thousands of smaller ones
The 2.9-kilometer Rion-Antirion Bridge in Greece, with its 300 sensors, is a testament to how smart a piece of infrastructure can be. It routinely tells operators when an earthquake, frequent in those parts, or high winds warrant shutting down traffic.
“The bridge tolls are meant to collect thousands of euros per day,” says Alexandre Chaperon, an engineer at the company that designed the system, Advitam, in Vienna, Va. “Without the monitoring system, the bridge would be closed after every earthquake, more than three days in some cases, instead of 5 minutes.”
Dozens of the largest and most complex bridges in the world are already studded with strain and displacement gauges, three-dimensional accelerometers, tiltmeters, temperature sensors, and other instruments. They are wired to central data-acquisition units—though some newer bridges have wireless systems—which collect and analyze the information and relay it to engineers, in hopes of catching signs of distress before human inspectors could. With the United States injecting US $27.5 billion into revamping the country’s roadways and bridges as part of an $800 billion economic stimulus effort, it might seem like a perfect opportunity to add smarts to more bridges.
Rad the complete article here.
In recent posts we reviewed an MIT experiment called WikiCity, that gathered real-time location data from mobile phones in Rome and graphically mapped trends from it. We then looked at a more commercial product doing similar real-time location data analysis, called Citysense. That product aims to let users find the most popular night spots in San Francisco and the most efficient ways to get to them. The next stage of projects/products such as Wikicity and Citysense will be to enable users to social network, using data from sensors as one input.
