A variety of gaseous products are formed when mine fires
and coal
and gas outbursts occur in mines. On the one hand, these gas products
affect the normal production of mines and the occupational health
of miners; on the other hand, the gaseous products can also provide
much important information to prevent mine disasters. Thus, the rapid
and accurate determination of the component content of multicomponent
mixed gases is of great significance. However, the distortion of gas
chromatography measurement results, which deviate from the true values,
has a serious impact on gas composition determination in mines. To
reduce the influence of distortion, an Agilent 490 portable gas chromatograph
is used to measure the component content of 11 groups of standard
multicomponent mixed gases. It is found that the error rate of the
measured result is highly related to the concentration of the selected
reference component and the component to be measured. Besides, the
key point of each gas concentration is determined according to the
scatter diagram of the error rate. Each gas is divided into a high
and a low concentration group by the key points, and each gas is selected
as the reference component to measure the corresponding component
concentration in other gases with multiple-point external standards.
Researchers have used the least-squares method to fit univariate linear
regression analysis between the measured values and true values of
mixed gases. Then, the optimal analysis function and the optimal reference
component concentration of each gas can be determined by comparing
the regression analysis parameters. Finally, it is found that the
error rate of measured values corrected by the optimal analysis function
is significantly reduced. It is proved that this method can effectively
alleviate the measurement results’ distortion, which solves
the problem of gas composition determination in underground areas.