US 11,852,563 B2
Fuel leak determination via predictive modeling
Prem Swaroop, Lexington, MA (US); Atish Kamble, Arlington, MA (US); and Bodhayan Dev, Marlborough, MA (US)
Assigned to Wayne Fueling Systems LLC, Austin, TX (US)
Filed by Wayne Fueling Systems LLC, Austin, TX (US)
Filed on Sep. 21, 2020, as Appl. No. 17/027,529.
Claims priority of provisional application 63/046,345, filed on Jun. 30, 2020.
Prior Publication US 2021/0404904 A1, Dec. 30, 2021
Int. Cl. G01M 3/18 (2006.01); G06F 3/04842 (2022.01); G06Q 10/04 (2023.01); G06Q 50/18 (2012.01); B67D 7/08 (2010.01); G01F 25/10 (2022.01)
CPC G01M 3/186 (2013.01) [B67D 7/085 (2013.01); G01F 25/15 (2022.01); G06F 3/04842 (2013.01); G06Q 10/04 (2013.01); G06Q 50/18 (2013.01); G01F 25/13 (2022.01)] 31 Claims
OG exemplary drawing
 
1. A method comprising:
receiving, from one or more of a plurality of sensors disposed in a fuel storage facility, data characterizing the fuel storage facility;
determining, by a server and based on the received data, a predicted fuel leakage rate for the fuel storage facility, the determining further based on at least one predictive model that predicts whether a fuel leak exists in the fuel storage facility;
determining, by a server and based on whether a predicted fuel leakage rate exceeds a first, second, and/or third threshold, a fuel leak prediction for the fuel storage facility; and
providing, by the server, the fuel leak prediction,
wherein the predicted fuel leakage rate being:
less than the first threshold indicates a non-leaking fuel storage facility,
greater than the first threshold but less than the second threshold indicates a leaking storage facility, and
greater than the second threshold and the third threshold indicates an inconclusive prediction.