Assessment of Gross Errors and Uniformity of Readings of Sensors for Relative Humidity Measurement in Indoor Premises

An electronic system for providing comfortable conditions in a room based on the Internet of Things has been developed, which measures temperature, relative humidity, barometric pressure and illumination. The object of statistical evaluation is the relative humidity sensors, which are positioned inside the room and are thirty-two in number, to reserve and prevent the loss of data. The data for the relative humidity from the sensors are recorded twenty-four hours, every minute. Since the reading period is too long, the use of calibrated relative humidity meters is financially uneconomical. This necessitates the implementation of the algorithm of work of the developed electronic system of two statistical approaches to estimate the gross errors and the synchronicity of the readings between the available sensors at a specific point. Thus, if one of the sensors stops reading or if its readings differ significantly from those of the others, the sensor is ignored.