Fluctuating readings or outliers occur with turbulent water surfaces, for example, during inflow into a cistern. A proven approach to obtaining stable readings is the use of the moving median.

The moving median (also known as rolling median) is a method for smoothing data or eliminating outliers in a data series. It is used to create a more stable version of the data by calculating the median within a specific window or period for each point in the series.

Under System, you can activate the use of the moving median. The time window over which the median is to be formed can also be selected. The larger the window, the more stable the values. However, with increasing window size, the sensor's reaction time to sustained changes in the fill level also increases.

Compared to the moving average, the median is better suited for eliminating outliers. The average is strongly influenced by extreme values, which is not the case with the median.