US 12,392,927 B1
Methods and systems for allocation of flood sensors via distributed parameter flood modeling
Deovrat Kakde, Cary, NC (US); Rajendra Singh Solanki, Cary, NC (US); and Tyson Echentile, Palm City, FL (US)
Assigned to SAS INSTITUTE INC., Cary, NC (US)
Filed by SAS Institute Inc., Cary, NC (US)
Filed on Dec. 10, 2024, as Appl. No. 18/975,396.
Claims priority of provisional application 63/655,230, filed on Jun. 3, 2024.
Claims priority of provisional application 63/642,848, filed on May 5, 2024.
Int. Cl. G01W 1/10 (2006.01); G01W 1/14 (2006.01); G06F 16/29 (2019.01); G06F 18/23 (2023.01)
CPC G01W 1/10 (2013.01) [G01W 1/14 (2013.01); G06F 16/29 (2019.01); G06F 18/23 (2023.01)] 30 Claims
OG exemplary drawing
 
1. A computer-program product comprising a non-transitory machine-readable storage medium storing computer instructions that, when executed by one or more processors, perform operations comprising:
creating a geospatial dataset comprising features for a plurality of geographical cells within a target spatial area;
executing, via a flood simulation model, a computer simulation that simulates flooding within the target spatial area based on an input of (1) the geospatial dataset and (2) rainfall intensity data of one or more flooding events associated with the target spatial area, wherein executing the computer simulation includes:
simulating inundation levels of the plurality of geographical cells during the one or more flooding events, and
simulating a flow of water across the plurality of geographical cells during the one or more flooding events;
converting the inundation levels of the plurality of geographical cells to normalized inundation scores for the plurality of geographical cells;
detecting one or more clusters of interconnected geographical cells based on the simulating of the flow of water;
determining, via an optimization algorithm, a set of optimal sensor locations in the target spatial area based on the normalized inundation scores and the one or more clusters of interconnected geographical cells;
generating a sensor location map that includes the plurality of geographical cells and a set of geospatial markers identifying the set of optimal sensor locations;
generating a visual output that displays the sensor location map after generating the sensor location map; and
positioning one or more sensors at one or more of the optimal sensor locations based at least in part on the visual output that displays the sensor location map.