A method for improving the measuring precision of a flow measuring assembly in pipelines through which a liquid flows, comprising at least one disturbance point , which influences the flow of a liquid through the pipelines such that a flow measurement of the measuring assembly is impaired, wherein the flow measuring assembly is operatively coupled to a data processing unit and a storage unit , comprising the steps of - selecting a disturbance point in the pipeline and arranging the flow measuring assembly on the pipeline through which a liquid flows at a predetermined distance (L1) adjacent to the disturbance point ; - using the flow measuring assembly to measure a flow value Q 1 , which is a function of the disturbance point , of the liquid flowing through the pipeline at the predetermined distance position (L1) at the point in time t; - determining disturbance point parameters, which comprise parameters that change dynamically for each measuring assembly , and parameters that are fixed, and which describe the disturbance point with respect to its shape, type, and dimensions; - using the data processing unit to interpolate an error factor (K) as a numerical function of the disturbance point parameters from the values of the determined disturbance point parameters, thereby calculating the function of the error factor (K) as a function of the fixed disturbance point parameters via a numerical simulation in combination with a neuronal network in order to interpolate the error factor (K); - numerically determining an actual flow value (Q 2 ) from the detected flow value Q 1 of the liquid using the error factor (K); - thereby detecting the flow, which is a function of a disturbance point , at a plurality of disturbance points , which are present along a predetermined pipeline section, and extrapolating each error factor (K), which is a function of the disturbance point , to form a total factor for this pipeline section; - determining an actual total flow value (Q 3 ) for the pipeline from the total factor; and - outputting the error factor (K) and the calculated actual flow value (Q 2 ) for each disturbance point and the total flow value (Q 3 ) for the pipeline . - selecting a disturbance point in the pipeline and arranging the flow measuring assembly on the pipeline through which a liquid flows at a predetermined distance (L1) adjacent to the disturbance point ; - using the flow measuring assembly to measure a flow value Q 1 , which is a function of the disturbance point , of the liquid flowing through the pipeline at the predetermined distance position (L1) at the point in time t; - determining disturbance point parameters, which comprise parameters that change dynamically for each measuring assembly , and parameters that are fixed, and which describe the disturbance point with respect to its shape, type, and dimensions; - using the data processing unit to interpolate an error factor (K) as a numerical function of the disturbance point parameters from the values of the determined disturbance point parameters, thereby calculating the function of the error factor (K) as a function of the fixed disturbance point parameters via a numerical simulation in combination with a neuronal network in order to interpolate the error factor (K); - numerically determining an actual flow value (Q 2 ) from the detected flow value Q 1 of the liquid using the error factor (K); - thereby detecting the flow, which is a function of a disturbance point , at a plurality of disturbance points , which are present along a predetermined pipeline section, and extrapolating each error factor (K), which is a function of the disturbance point , to form a total factor for this pipeline section; - determining an actual total flow value (Q 3 ) for the pipeline from the total factor; and - outputting the error factor (K) and the calculated actual flow value (Q 2 ) for each disturbance point and the total flow value (Q 3 ) for the pipeline . <EOS>