Research on data operation verification method of smart heating system

High-quality data is the premise of the data analysis of the smart heating system and the guarantee of the reliability of the analysis conclusions. The good working condition of measuring instruments is the basis of obtaining high-quality data. This paper discusses the differences between the verification, calibration and operation verification of measuring instruments, and studies the online operation verification method of measuring instruments of the smart heating system. The study shows that according to the actual installation conditions of the flowmeter, the problem of measurement error caused by the insufficient length of straight pipe section can be solved by using the installation condition correction coefficient. The technical performance verification of the flowmeter using the reference table method can correctly identify the working status of a single flowmeter. The tracer method is an effective method to solve the data quality problem of large-diameter trade settlement meters. This study can provide theoretical guidance and technical support for timely detecting abnormal measuring instruments and ensuring the accuracy and reliability of measurement data.