To accurately assess the error in sulfur hexafluoride(SF

6

)gas density measurement caused by the temperature difference between the environment and the equipment

an experimental analysis method was employed. A detection platform for SF

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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. Throu

gh 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 SF

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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.