UNCERTAINTY-AWARE ROOM-TEMPERATURE PROFILE ESTIMATION USING ORDINARY KRIGING

• 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:

  tc6-2022.017

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