Abstract: Monitoring of a line system (1) in which a liquid medium (3) is guided in a line (2). The current pressure of the liquid medium (3) in the line (2) and in the associated current flow are sensed at sensing times. The two values are fed to a computing unit (5). The computing unit (5) calculates a theoretical flow of the liquid medium (3) in the line (2) from the sensed current pressure by taking into account a specified flow function. The flow function describes a physical relationship between the theoretical flow of the liquid medium (3) and the current pressure of the liquid medium (3). The computing unit (5) determines an individual degree of clogging on the basis of the current flow and the theoretical flow. On the basis of a number of determined individual degrees of clogging and by using stochastic methods, the computing unit (5) calculates an interval within which a degree of clogging of the line system (1) lies with a probability to be defined.

Abstract: Monitoring of a line system (1) in which a liquid medium (3) is guided in a line (2). The current pressure of the liquid medium (3) in the line (2) and in the associated current flow are sensed at sensing times. The two values are fed to a computing unit (5). The computing unit (5) calculates a theoretical flow of the liquid medium (3) in the line (2) from the sensed current pressure by taking into account a specified flow function. The flow function describes a physical relationship between the theoretical flow of the liquid medium (3) and the current pressure of the liquid medium (3). The computing unit (5) determines an individual degree of clogging on the basis of the current flow and the theoretical flow. On the basis of a number of determined individual degrees of clogging and by using stochastic methods, the computing unit (5) calculates an interval within which a degree of clogging of the line system (1) lies with a probability to be defined.