UNCERTAINTY-AWARE ROOM-TEMPERATURE PROFILE ESTIMATION USING ORDINARY KRIGING

Anupam Prasad Vedurmudi, Katharina Janzen, Sascha Eichstädt
Abstract:
Information leveraged from multiple sensors is generally more versatile than that from a single sensor. For instance, the value of a physical quantity at an unsampled location can be estimated by interpolating measurements from spatially separated sensors. In this contribution, kriging is used to spatially interpolate room temperatures from a limited number of sensors with different measurement uncertainties and a propagation of the sensor uncertainties to the interpolated values using a Monte Carlo simulation is demonstrated. A potential application of kriging to assess the quality of sensor measurements is also presented.
Keywords:
Temperature, Sensor Fusion, Kriging, Uncertainty, Monte Carlo
Download:
IMEKO-TC6-2022-017.pdf
DOI:
10.21014/tc6-2022.017
Event details
Event name:
M4Dconf2022
Title:

First International IMEKO TC6 Conference on Metrology and Digital Transformation

Place:
Berlin, GERMANY
Time:
19 September 2022 - 21 September 2022
Event details
Event name:
Special session at M4Dconf2022
Title:

First International IMEKO TC6 Conference on Metrology and Digital Transformation

Place:
Berlin, GERMANY
Time:
19 September 2022 - 21 September 2022
Event details
Event name:
M4Dconf2022 (2)
Title:

First International IMEKO TC6 Conference on Metrology and Digital Transformation

Place:
Berlin, GERMANY
Time:
19 September 2022 - 21 September 2022