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How to solve the problem of inaccurate readings on Emerson flowmeters

2020-11-23View Original

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Emerson flowmeters may experience inaccurate readings during use, and this is mainly caused by three factors. Let’s take a look at the specific steps to address this issue. Problems with the Emerson flow meter itself: Check whether the flow coefficient specified in the Emerson flow meter’s configuration matches the coefficient indicated on the nameplate. Check whether the instrument coefficients for mass, volume, and density are 1.0000. Check if there is any difference between the cumulative value of the receiving device and that of the flow meter. Check the damping settings for mass flow, density, and temperature. Check the measurement units of the instruments. Check the alarm messages. Check the zero point of the instruments. Consider the flow meter factors. Calculate the rated accuracy at the current flow rate. Process factors: Verify whether the pipeline in which the Emerson flow meter is installed is always full; check for any gas-liquid two-phase conditions. In situations where the batch flow rate is low and pressure changes significantly, metal pipes should be used. It is also important to check whether the volume of fluid in the pipeline where the flow meter is located remains constant, as well as whether the operating temperature and pressure vary greatly. Additionally, it is necessary to ensure that there are no leaks in the bypass pipelines and valves. Issues to consider when using Emerson flow meters in conjunction with reference devices: when comparing with a flow meter, take into account the rated accuracy of the reference flow meter. When comparing with weighing equipment, the accuracy of the weighing device and the impact of its division value on batch sizes should be taken into account. When comparing with volume-measuring equipment, the accuracy of the container’s volume indication, the precision of measurements for variables such as liquid level, temperature, and density, as well as the effect of air buoyancy, need to be considered. When conducting comparisons for small batches, the impact of timing errors must be taken into account; when collecting data periodically, the differences in the timing of data collection should also be considered

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