Fuel leak determination via predictive modeling
AssigneeWayne Fueling Systems LLC
InventorsPrem Swaroop, Atish Kamble, Bodhayan Dev
Life of this patent
Estimating the term…
Abstract
Data characterizing a fuel storage facility can be received from one or more of a plurality of sensors disposed in the fuel storage facility. A fuel leak prediction for the fuel storage facility can be determined by a server, based on the received data, and further based on at least one predictive model that predicts whether a fuel leak exists in the fuel storage facility. The fuel leak prediction can be provided by the server. Related apparatus, systems, methods, techniques, and articles are also described.
Claims25
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, the at least one predictive model being based on one or more user-provided parameters;
- providing a visual characterization of the predicted fuel leakage rate for the fuel storage facility to a display communicatively coupled to the server;
- wherein the one or more user-provided parameters include at least one of a time period of operation of the fuel storage facility and at least one data quality parameter to improve a quality of the received data.
The method of 4 further comprising determining a combined predicted fuel leakage rate based on a difference between the first predicted fuel leakage rate and the second predicted fuel leakage rate.
A system comprising:
- at least one data processor;
- and
- memory storing instructions configured to cause the at least one data processor to perform operations comprising:
- receive, from one or more of a plurality of sensors disposed in a fuel storage facility, data characterizing the fuel storage facility;
- determine, 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, the at least one predictive model being based on one or more user-provided parameters;
- provide a visual characterization of the predicted fuel leakage rate for the fuel storage facility to a display communicatively coupled to the server;
- wherein the one or more user-provided parameters include at least one of a time period of operation of the fuel storage facility and at least one data quality parameter to improve a quality of the received data.
The system of 16 further comprising determining a combined predicted fuel leakage rate based on a difference between the first predicted fuel leakage rate and the second predicted fuel leakage rate.
A non-transitory computer program product storing instructions which, when executed by at least one data processor forming part of at least one computing system, cause the at least one data processor to implement operations comprising:
- receive, from one or more of a plurality of sensors disposed in a fuel storage facility, data characterizing the fuel storage facility;
- determine, 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, the at least one predictive model being based on one or more user-provided parameters;
- provide a visual characterization of the predicted fuel leakage rate for the fuel storage facility to a display communicatively coupled to the server;
- wherein the one or more user-provided parameters include at least one of a time period of operation of the fuel storage facility and at least one data quality parameter to improve a quality of the received data.
Dependencies are inferred from the claim text.