Linear Calibration of Oxygen Detection in Coal Mine Explosion Monitoring

Abstract

Mine fire occurrence, continues to be one of the most enduring problems faced by the mining industry. The purpose of this study is to assess strategies for detecting the most important ingredient in the coal mine gas explosion-proof monitoring-oxygen content, so as to make the best foresee and prediction to the mine fire. The oxygen concentration within atmosphere located in the area of the seal gas explosion hazard safety zone should be less than 8%. In accordance with the national standard, the mine requires oxygen detection accuracy of 1%. The performances of an oxygen content monitoring system is influenced by such four elements as gas line, sensor, signal conditioning and processing as well as terminal handling system, etc.. In this work, through the use of computer-controlled technology, the oxygen content monitoring system was first made a linear open-loop calibration based on hardware, then made a linear closed loop calibration based on software programming, and at last, the famous OriginPRO data analysis system was used to analyze and interpret the sampling data, a programmed planning and real-time information correction of linear closed-loop calibration based on software was achieved, so that an oxygen content monitoring sensitivity limit of less than 0.36% was obtained in the system.