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

Claim 12:
13. An emission prediction system for predicting emissions occurring at a monitored site, the emission prediction system comprising:
a first air quality monitor, comprising:
a first event monitor responsive to events at the monitored site, to:
detect at least one event at the monitored site;
generate a first set of event parameters indicative of occurrence of the at least one event; and
transmit the first set of event parameters to a first server;

a supervisory control and data acquisition (SCADA) system installed at the monitored site to:
sense a set of SCADA parameters comprising:
a physical factor of a component at the monitored site; and
an operational factor of the component; and

transmit the set of SCADA parameters to the first server; and

a logic control unit connected to the first server, to:
train 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;

monitor 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;
refine, 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

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