Assistant decision-making method for gas sensor adjustment on working face

Abstract

The invention discloses an assistant decision-making method for gas sensor adjustment on a working face. The method comprises the following steps: assuming a moment before gas sensor adjustment is t,extracting q data at a moment t-1 and before the moment t-1 from a gas concentration data sequence monitored before the gas sensor adjustment according to a time sequence to form basic data C; performing training according to a Gaussian process regression theory to obtain a Gaussian regression model GP(C,y); taking gas concentration monitoring data at the moment t before the gas sensor adjustmentas test input; obtaining a mean value function and a variance function of gas concentration normal monitoring data corresponding to the moment t with the trained Gaussian regression model; acquiring aconfidence interval according to the mean value function and the variance function of the gas concentration normal monitoring data corresponding to the moment t in terms of the characteristic of Gaussian distribution; and comparing a gas concentration actual monitoring value after the gas sensor adjustment with the obtained confidence interval to judge the effectiveness of the gas sensor adjustment.

Description

technical field [0001] The invention belongs to the technical field of coal mine safety monitoring and monitoring, and in particular relates to an auxiliary decision-making method for adjusting a gas sensor on a working face. Background technique [0002] The environmental conditions of the coal mine are harsh, the gas sensor is affected by water vapor and dust during the working process, and the gas concentration monitoring data transmission is affected by electromagnetic interference, etc., which will cause the gas sensor monitoring data to be distorted, and the monitoring data distortion is allowed within an acceptable error range , but the above-mentioned effects often make the monitoring data of gas concentration intermittent, continuous to zero, or "large numbers" and other monitoring failures. In this case, gas sensor adjustment is a key means to ensure reliable and safe monitoring. [0003] At present, the existing monitoring and monitoring software only has a "big n...

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Problems solved by technology

[0002] The environmental conditions of the coal mine are harsh, the gas sensor is affected by water vapor and dust during the working process, and the gas concentration monitoring data transmission is affected by electromagnetic interference, etc., which will cause the gas sensor monitoring data to be distorted, and the monitoring data distortion is allowed within an acceptable error range , but the above-mentioned effects often make the monitoring data of gas concentration intermittently, continuously zero, or have "large numbers" and other monito

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