The EDS is able to monitor low-energy sensors, broadcasting only once every few hours. Low-energy sensors have thresholds, stating when the water quality is hazardous. When these thresholds are violated, the low-energy sensor leaves its dormant state and begins broadcasting water quality data. The EDS allows on-line calibration of these thresholds, making sure thresholds change dynamically with the state of the water network, season of the year and different sensor calibrations.
The core of this module is the ability to predict a threshold for the next time interval (the dormant time of the low-energy sensor) for water quality measurements (called dependent variables in the figure below). Adjustments to the current water state is done via additional water quality measurements (mostly from other stations, taken with consideration of flow time), and additional seasonality adjustments. The low-energy module utilizes the MindSet Predictor toolbox for performing statistical predictions.
The on-line dynamic calibration of thresholds for the dynamic sensor means it is extremely effective - enabling the reduction of false alarm rates and the detection of irregularities in water quality measurements.
Allow measurements only where electricity is available.
By utilizing state-of-the-art multivariate statistical models
The low-energy sensor module is fully integrated with the EDS and the EDS workflow.