MONITORING AN AMBIENT AIR PARAMETER USING A TRAINED MODEL
A method and related system are provided for estimating or predicting an output value of a first ambient parameter (AP). Sensors generate a plurality of time-paired training values of the first AP, a second AP, and accuracy factor(s) affecting the accuracy of the measured first or second APs. A comp...
Saved in:
Main Authors | , , |
---|---|
Format | Patent |
Language | English |
Published |
20.10.2022
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | A method and related system are provided for estimating or predicting an output value of a first ambient parameter (AP). Sensors generate a plurality of time-paired training values of the first AP, a second AP, and accuracy factor(s) affecting the accuracy of the measured first or second APs. A computer uses the training values, and trust coefficients based on the accuracy factor to train an air quality prediction model for estimating or predicting the output value of the first AP based on a measured input value of the second AP. The computer estimates or predicts the output value of the first AP by applying the trained air quality prediction model to the input value of the second AP. The estimated or predicted output value of the first AP may be used to calibrate the accuracy of measured values of the first AP, or forecast future values of the first AP. |
---|---|
Bibliography: | Application Number: US202217718804 |