Patent ID: 11887203
Assignee: PROJECT CANARY, PBC
Field: Measurement (Instruments)
Classification: CPC G | IPC G

Claim 1:
2. The emission location method of claim 1, further comprising:
providing a second air quality monitor comprising:
a second sensor responsive to the emissions event of the target substance; and
a second location at which the second air quality monitor is located on the site;
sensing, by the second air quality monitor, a second set of attached parameters at the second location;
transmitting the second set of attached parameters to a first server;
providing a supervisory control and data acquisition system (SCADA system) at the site, the SCADA system configured to:
supervise a physical factor and an operational factor of at least a first device and at least a second device at the site; and
acquire the physical factor and the operational factor from the first device and the second device at the site;
acquiring, with the SCADA system, a set of SCADA data from the first device and the second device;
transmitting the set of SCADA data to the first server;
training an emissions-location machine learning model with:
the first server;
the first set of attached parameters sensed by the first air quality monitor;
the second set of attached parameters sensed by the second air quality monitor; and
the set of SCADA data,
wherein the emissions-location machine learning model generates a trained emissions-model parameter;
generating an emissions-simulation model of a plume of the target substance using the trained emissions-model parameter;
monitoring, over a predefined time period and with the emissions-simulation model, the set of SCADA data, the first set of attached parameters and the second set of attached parameters;
refining, iteratively and over the predefined time period, the emissions-simulation model based on monitoring, to a refined emissions-simulation model; and
locating the emission source of the target substance at the site with:
the refined emissions-simulation model,
the set of SCADA data, and
the trained emissions-model parameter.