Research on Data Processing Method Based on Automatic Measurement System of Mass in Small Nominal Value

To improve measurement efficiency, calibration laboratories are gradually employing automatic measurement systems instead of manual measurements. At present, the data directly generated by the automatic measurement system focuses on the presentation of the measurement results but lacks the key information elements required by ISO-17025 for the original records and certificate reports. In the meantime, when carrying out mass measurements in small nominal values, it is easy to generate incomplete data due to measurement interruptions caused by falling weights. After the measurement, it is often necessary for inspectors to process data manually. Therefore, in the actual inspection work, the data analysis and processing of the automatic measurement system still require a lot of manpower. In this paper, combined with the features of mass measurements in small nominal value, a data analysis and processing method based on the automatic measurement system was proposed. Functions such as automatic segmentation and reorganization of data, identification of unqualified results, and processing of incomplete data were added. reduces the interference of human factors. The method realized automatic analysis of data, automatic generation of original records and certificate reports, reduced human factor interference, and further enhanced the efficiency of quality inspection and automatic data processing and analysis.