Patent ID: 11861753
Assignee: PROJECT CANARY, PBC
Field: Measurement (Instruments)
Classification: CPC G | IPC G

Claim 0:
1. An emission prediction method for predicting emissions from an emission source at a monitored site, the emission prediction method comprising:
providing a first air quality monitor comprising:
a first event monitor responsive to events at the monitored site;

detecting at least one event at the monitored site with the first event monitor;
generating a first set of event parameters indicative of occurrence of the at least one event;
transmitting the first set of event parameters to a first server;
providing a supervisory control and data acquisition (SCADA) system at the monitored site;
sensing a set of SCADA parameters comprising:
a physical factor of a component at the monitored site; and
an operational factor of the component;

transmitting the set of SCADA parameters to the first server;
training an emission-prediction-machine-learning model to create a trained emission-prediction-machine-learning model with:
the first set of event parameters; and
the set of SCADA parameters,

monitoring over a predefined time period, the first set of event parameters and the set of SCADA parameters to create a refined first set of event parameters and a refined set of SCADA parameters;
refining, iteratively and over the predefined time period, the trained emission-prediction-machine-learning model with the refined first set of event parameters and the refined set of SCADA parameters to:
create a refined emission-prediction-machine-learning model, wherein the refined emission-prediction-machine-learning model generates:
a refined predicted emission parameter corresponding to the component; and

predicting the emissions fugitively associated with the component with the refined predicted emission parameter.