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1. (WO2018086742) METHOD FOR IMPROVING THE MEASURING PRECISION OF A FLOW MEASURING ASSEMBLY

Pub. No.:    WO/2018/086742    International Application No.:    PCT/EP2017/001307
Publication Date: Fri May 18 01:59:59 CEST 2018 International Filing Date: Sat Nov 11 00:59:59 CET 2017
IPC: G01F 1/708
G01F 25/00
Applicants: NIVUS GMBH
Inventors: SOLLIEC, Laurent
Title: METHOD FOR IMPROVING THE MEASURING PRECISION OF A FLOW MEASURING ASSEMBLY
Abstract:
The invention relates to a method for improving the measuring precision of a flow measuring assembly (1) in pipelines (2) through which a liquid flows and which comprise at least one disturbance point (5). The disturbance point (5) influences the flow of a liquid through the pipelines (2) such that a flow measurement process of the measuring assembly (1) is impaired. The flow measuring assembly (1) is operatively coupled to a data processing unit (4) and a storage unit (6). The method has the following steps: - selecting a disturbance point (5) in the pipeline (2) and arranging the flow measuring assembly (1) on the pipeline (2) through which a liquid flows at a specified distance (L1) adjacently to the disturbance point (5); - using the flow measuring assembly (1) to measure a flow value (Q1) of the liquid flowing through the pipeline (2) at the specified distance position (L1) at a point in time t, said value being based on the disturbance point (5); - ascertaining disturbance point parameters which comprise parameters that change dynamically for each measuring assembly and parameters that are fixed, said disturbance point parameters describing the disturbance point (5) with respect to the shape, type, and dimensions of the disturbance point; - using the data processing unit (4) to interpolate an error factor (K) as a numerical function of the disturbance point parameters from the values of the ascertained disturbance point parameters, in the process calculating the function of the error factor (K) on the basis of the fixed disturbance point parameters via a numerical simulation in combination with a neural net in order to interpolate the error factor (K); - numerically determining an actual flow value (Q2) from the detected flow value (Q1) of the liquid using the error factor (K); and - outputting the error factor (K) and the calculated actual flow value (Q2).