【摘要】 为了准确评估六氟化硫（SF₆）气体密度测量中因环境与设备温差导致的误差问题，采用实验分析方法，设计了可模拟不同温差的SF₆气体密度检测平台。通过精确控温装置调节表计与环境温度，系统研究了温差对密度测量值的影响机制，并通过实验数据分析发现，当表计温度低于设备温度时，所测密度值呈上升趋势，在0～10℃的温差范围内，误差比例最高可达3.23%;相反，若表计温度高于设备温度，密度测量值则下降，同等温差范围内误差比例达3.26%。在气压恒定的条件下，密度测量值与环境温度变化呈显著负相关，其与标准值的偏差与环境温差之间呈现高度线性关系。基于上述分析，提出一种基于时间序列数据的SF₆密度表自诊断方法，可用于识别因环境温度差异所引起的密度示数异常。该方法有助于提升对GIS设备真实状态的判断能力，为电力设备的安全稳定运行提供技术支持。更多还原

【Abstract】 To accurately assess the error in sulfur hexafluoride（SF₆） gas density measurement caused by the temperature difference between the environment and the equipment, an experimental analysis method was employed. A detection platform for SF₆ gas density capable of simulating various temperature differences was designed. By using a precise temperature control device to adjust the temperature of the meter and the environment, the influence mechanism of temperature difference on density measurement was systematically studied. Through experimental data analysis, it was found that when the meter temperature is lower than the equipment temperature, the measured density value shows an increasing trend. Within a temperature difference range of 0-10 ℃, the maximum error proportion reaches 3.23%. Conversely, when the meter temperature is higher than the equipment temperature, the density measurement value decreases, with an error proportion of up to 3.26% within the same temperature difference range. Under constant pressure conditions, the density measurement value is significantly negatively correlated with changes in ambient temperature, and the deviation from the standard value exhibits a highly linear relationship with the environmental temperature difference. Based on the above analysis, a self-diagnosis method for SF₆ density meters using time-series data was proposed, which can be used to identify abnormal density readings caused by environmental temperature differences. This method helps improve the ability to assess the true state of GIS equipment and provides technical support for the safe and stable operation of power equipment.更多还原