Using machine learning, existing fiber optic cables to track Pittsburgh hazards
UNIVERSITY PARK, Pa. — Existing fiber optic cables used for high-speed internet and telecommunications, in combination with machine learning, may be able to help scientists track ground hazards in Pittsburgh. The National Science Foundation awarded a $937,000 grant to a team of Penn State and Carnegie Mellon University (CMU) researchers to further develop the low-cost monitoring approach.
The effort, which is led by Tieyuan Zhu, associate professor of geosciences at Penn State, relies on prior research that shows hazards such as flooding, landslides, sinkholes and leaking pipes can be monitored at a fraction of the cost of existing methods.
The distributed acoustic sensing ...











