Authors | ; ; |
Data Type(s) | Jupyter Notebook |
Natural Hazard Type(s) | Hurricane/Tropical Storm |
Facilities | Wall of Wind - Florida International University Wireless sensing network at Florida Tech |
Event(s) | Hurricane Isaias | Satellite Beach | 2020-07-30 ― 2020-08-05 | Lat 28.1761° N long 80.5901° W |
Awards | Wireless Sensor Network (WSN) System and LIDAR Experiments for the Characterization of Strong Wind Loads on Non-Structural Components and Near-surface Wind Profiles | 70NANB19H088 | NIST |
Referenced Data and Software | |
Keywords | wireless sensors network, Tapis, Plotly, Hurricane Ian, Wall of Wind |
DOI | 10.17603/ds2-e0wn-ge12 |
License | 3-Clause BSD License |
Version | 2 |
Florida Tech (FIT) teams deploy networks of wireless sensors on residential houses during high impact wind events or on full scale wind tunnel models. Each deployment might include pressure, temperature and humidity sensors alongside different anemometers and a conical scanning infrared LIDAR. The workflow, starts with uploading the data to DesignSafe through authentication tokens created in Tapis. Once on DesignSafe, three Jupyter notebooks process and visualize the instruments data for analyses. The notebooks provide a user friendly and interactive environment that can adapt to different datasets. For this project, the notebooks perform quasi static real-time analysis, assess sensor performance, study pressure variations for different wind conditions and data correlation. The user interactivity of these notebooks facilitates an easy adaptation to different datasets with little to no-change in code.