Abstract: A method of determining application-specific plausibilities of measured values of measurands measured by measurement devices in a specific application is disclosed, comprising the steps of: recording data including items of diagnostic information for the measurement devices and variable values of specified variables including each measurand; for each measurand determining a total plausibility of the current measured values of the measurand based on plausibility values determined based on plausibility criteria including a diagnostic criterium and an application-specific threshold criterium and based on reliability values indicative of a statistical reliability of current measured value(s) of the measurand; and providing the total plausibilities and/or a total plausibility index determined based on the total plausibilities.

Abstract: A method of measuring measurands of a medium with a set of sensors installed in proximity to each other at a measuring point is described. The method comprises: with each sensor determining measured values of one of the measurands and parameter values of a parameter, wherein the same parameter is measured by each of the sensors. Based on the measured values and the parameter values, parameter compensated measurement results of each measurand are determined and provided. Based on the parameter values determined by all sensors, at least one parameter property exhibited by the parameter at the measuring point is determined. The method also includes monitoring the parameter measurements for each parameter property and detecting an impairment of the parameter measurements when the parameter values provided by the sensors become non-compliant to a criterium defined for the parameter values based on the parameter property, and providing a corresponding monitoring result.

Abstract: A method of predictive monitoring of a variable of a medium located in a container of a facility comprises steps of continuously recording data comprising measured values, based on training data determining a classification method capable of identifying data sets that have each been measured during one of the specific operation phases, performing the classification method and based on the data sets identified by the classification method determining a time series of compliancy indicators indicative of a degree of compliancy of at least one property of the characteristic of the measured values to a corresponding reference property of the reference characteristic. Based on the time series at least once determining a time remaining until the degree of compliancy indicated by compliancy indicators will drop below a predetermined minimum degree of compliancy; and providing an output informing about the remaining time.

Abstract: A method of predictive monitoring of a variable of a medium located in a container of a facility comprises steps of continuously recording data comprising measured values, based on training data determining a classification method capable of identifying data sets that have each been measured during one of the specific operation phases, performing the classification method and based on the data sets identified by the classification method determining a time series of compliancy indicators indicative of a degree of compliancy of at least one property of the characteristic of the measured values to a corresponding reference property of the reference characteristic. Based on the time series at least once determining a time remaining until the degree of compliancy indicated by compliancy indicators will drop below a predetermined minimum degree of compliancy; and providing an output informing about the remaining time.