Patent ID: 11868938
Assignee: PITT-OHIO
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 9:
10. A method for determining a greenhouse gas impact of operator maneuvers, wherein the method comprises:
receiving, using at least a processor and a sensor, operation data detected by the sensor comprising a pressure sensor;
determining, using the at least a processor, a portion of the operation data pertaining to an inefficient maneuver wherein determining the portion of the operation data comprises:
classifying each of the operation data to maneuver efficiency category;
determining an average of the operation data for each maneuver efficiency category;
determining a threshold value for the inefficient maneuver as a function of the average of the operation data for each maneuver efficiency category; and
determining the portion of the operation data pertaining to the inefficient maneuver as a function of the maneuver efficiency category and the threshold value for each maneuver efficiency category; and

calculating, using the at least a processor, a greenhouse gas impact for inefficient maneuver data, wherein calculating the greenhouse gas impact for the inefficient maneuver comprises:
receiving a training data set, wherein the training data set comprises outputs correlated with inputs, wherein the inputs comprise inefficient maneuver data inputs and the outputs comprise greenhouse gas impact outputs; and
generating an impact machine-learning model as a function of the training data set, wherein the impact machine-learning model determines a greenhouse gas impact as a function of the inefficient maneuver data; and
calculating the greenhouse gas impact for the inefficient maneuver using the trained impact machine-learning model.