Li Feng, Wang Chenchen, Zhang Yue, He Xiaoxuan, Zhang Chenyu, Sha Fangfei
School of Emergency Management and Safety Engineering, China University of Mining and Technology (Beijing), No. 11, Xueyuan Road, Haidian District, Beijing 100083, China.
CNOOC Energy Development Co., Ltd., Beijing 100028, China.
ACS Omega. 2022 Jul 15;7(29):25443-25457. doi: 10.1021/acsomega.2c02391. eCollection 2022 Jul 26.
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.
矿井发生火灾、煤与瓦斯突出时会产生多种气态产物。一方面，这些气体产物影响矿井的正常生产以及矿工的职业健康；另一方面，气态产物也能为预防矿井灾害提供许多重要信息。因此，快速、准确地测定多组分混合气体的成分含量具有重要意义。然而，气相色谱测量结果出现偏离真实值的失真情况，对矿井气体成分测定有严重影响。为减少失真影响，采用安捷伦490便携式气相色谱仪测量11组标准多组分混合气体的成分含量。发现测量结果的误差率与所选参考组分及被测组分的浓度高度相关。此外，根据误差率散点图确定各气体浓度的关键点。通过关键点将每种气体分为高浓度组和低浓度组，以每种气体作为参考组分，采用多点外标法测量其他气体中相应组分的浓度。研究人员用最小二乘法对混合气体测量值与真实值进行一元线性回归分析拟合。然后，通过比较回归分析参数确定每种气体的最优分析函数和最优参考组分浓度。最终发现，用最优分析函数校正后的测量值误差率显著降低。证明该方法能有效缓解测量结果的失真问题，解决了井下区域气体成分测定问题。
