A method, in particular a computer implemented method, of predictive monitoring of a variable of a medium located in a container of a facility and of a measurement accuracy of a measurement device measuring this variable and providing measured values (m(ti)) of this variable during operation of the facility, wherein the facility is operated independently of the measured values (m(ti)) and wherein operation of the facility comprises a repeatedly occurring specific operation phase (Ps), wherein measured values (m(ti)) measured during the specific operation phases (Ps) exhibit a characteristic (C) distinguishing these measured values (m(ti)) from measured values (m(ti)) measured during other time periods, and wherein the characteristic (C) is compliant to a reference characteristic (Cr) when the facility was operating properly and the measurement device was compliant to a specified measurement accuracy during the respective specific operation phase (Ps), this method comprising the steps of: installing the measurement device at the facility; during operation of the facility continuously recording data (D) including the measured values (m(ti)) measured by the measurement device and their time of measurement (ti); based on training data comprised in this data (D), that has been recorded during a training time interval (TI), during which the facility was operating properly and during which the measurement device was compliant to the specified measurement accuracy, determining a classification method capable of identifying data sets (S) included in the recorded data (D), that have each been measured during one of the specific operation phases (Ps); performing the classification method and based on the data sets (S) identified by the classification method determining a time series (ts) of compliancy indicators (I) indicative of a degree of compliancy of at least one property of the characteristic (C) of the measured values (m(ti)) comprised in the data sets (S) to a corresponding reference property of the reference characteristic (Cr); based on the time series (ts) at least once determining a remaining time (RT) remaining until the degree of compliancy indicated by compliancy indicators (I) to be determined based on measured values (m(ti)) to be measured during a future occurrence of the specific operation phase (Ps) will drop below a predetermined minimum degree of compliancy (Imin); and providing an output informing about the remaining time (RT). installing the measurement device at the facility; during operation of the facility continuously recording data (D) including the measured values (m(ti)) measured by the measurement device and their time of measurement (ti); based on training data comprised in this data (D), that has been recorded during a training time interval (TI), during which the facility was operating properly and during which the measurement device was compliant to the specified measurement accuracy, determining a classification method capable of identifying data sets (S) included in the recorded data (D), that have each been measured during one of the specific operation phases (Ps); performing the classification method and based on the data sets (S) identified by the classification method determining a time series (ts) of compliancy indicators (I) indicative of a degree of compliancy of at least one property of the characteristic (C) of the measured values (m(ti)) comprised in the data sets (S) to a corresponding reference property of the reference characteristic (Cr); based on the time series (ts) at least once determining a remaining time (RT) remaining until the degree of compliancy indicated by compliancy indicators (I) to be determined based on measured values (m(ti)) to be measured during a future occurrence of the specific operation phase (Ps) will drop below a predetermined minimum degree of compliancy (Imin); and providing an output informing about the remaining time (RT). <EOS>