Mine gas monitoring abnormal data identifying method

Abstract

The invention discloses a mine gas monitoring abnormal data identifying method. The influence of production factors on gas emission is considered. A real-time monitoring data sample is reconstructed. An initial centroid vector is set for clustering. Discriminant samples in clustering are analyzed. If a sudden situation occurs and is beyond the 95% confidence interval of historical data, a small probability event is determined. A monitoring anomaly is determined, otherwise detection data are normal. According to the method, abnormal data of gas monitoring in a coal mine can be effectively identified; from gas emission at different underground locations and flow and accumulation characteristics, a ventilation factor, the flowing law of a fluid in a ventilation network, a gas accumulation source in an upper corner and other factors are taken into account; based on historical monitoring data statistical analysis and through on-line analysis with a safety monitoring and control system, abnormal gas monitoring data are identified; and the problems of low computational accuracy and false monitoring alarm, which are caused by the fact that monitoring data processing is affected by a false signal in gas monitoring information, are solved.

Description

【Technical field】 [0001] The invention belongs to the technical field of coal mine safety monitoring and monitoring, and in particular relates to a mine gas abnormal data monitoring and identification method, big data processing and safety early warning application based on real-time data of a safety monitoring and monitoring system. 【Background technique】 [0002] Gas disaster is one of the most harmful disasters to mine production, which seriously threatens the safe production of coal mines. Mine gas monitoring is an important means of preventing gas disasters. Important locations and areas in coal mines are key locations for gas monitoring, and monitoring data comes from detection Component methane sensor, the sensor transmits the monitoring data to the monitoring host through the underground substation, the monitoring host can be connected to the data acquisition program, and the real-time monitoring data is applied to the safety early warning analysis, that is, the gas g...

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Problems solved by technology

[0003] As far as gas concentration detection is concerned, the reliability and accuracy of the methane sensor itself is controlled by on-site quality access and adjustment by professional technicians. During daily operation, due to complex underground conditions, temperature, water vapor, mine dust, etc. Environmental factors will affect the accuracy of the methane sensor; factors such as electromagnetic interference during signal transmission and high-voltage shocks on communication lines will cause false signals, so there will inevitably be abnormal data in the monitoring data transmitted to the monitoring host

[0004] At present, no systematic research results have been submitted for field application on the identification of abnormal gas monitoring data, and data processing and application based on gas monitoring data must be based on more accurate and real data. Identifying and appearing critical

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