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Gas Abnormal Diagnosis Of Mining Face Based On Morphological Characteristics

Posted on:2022-08-25Degree:MasterType:Thesis
Country:ChinaCandidate:S LiFull Text:PDF
GTID:2481306533975029Subject:Safety engineering
Abstract/Summary:PDF Full Text Request
Before the occurrence of coal mine gas accidents,gas monitoring data are usually abnormal.Identifying these abnormal features and diagnosing the cause of the abnormality can improve the gas disaster early warning capability of the gas monitoring system,and help to take correct measures in time to prevent gas accidents.Based on the data of a gas monitoring system in a mine,this paper studies the method of gas monitoring data segmentation in order to study the characteristics of gas anomalous data.On this basis,the study of gas anomaly morphology characteristics is carried out,the key indicators of gas anomaly morphology characteristics are studied,and the gas anomaly diagnosis criteria are established to realize the dynamic diagnosis of gas anomalies in the mining face.The main research results of the thesis are as follows:(1)A segmentation method of gas monitoring data time series based on characteristic points is proposed.In view of the complex characteristics of coal mine gas monitoring data such as dynamics,inconsistent data collection cycles,long and short sequence time spans,different fluctuation amplitudes,and noise interference,this paper proposes an adaptive segmentation of the gas monitoring data time series based on feature points.The method ensures that the gas anomaly data can be completely segmented,and lays the foundation for the study of gas anomaly morphology and characteristics.(2)Proposed a key indicator system for gas anomalous morphological characteristics.Using the segmentation method,the abnormal data of different causes of gas anomalies are segmented,and on this basis,the gas anomaly morphology characteristics are studied,the key indicators of the gas anomaly morphology characteristics are proposed,and the gas anomaly morphology characteristics are fully excavated to realize the quantitative expression of the gas anomaly morphology characteristics,Lay the foundation for gas anomaly diagnosis research.(3)A gas anomaly diagnosis criterion based on morphological characteristics is constructed.According to the morphological characteristics of different causes of gas anomalies,the gas anomaly diagnosis was studied using the key indicators of the gas anomaly morphology characteristics,and the gas anomaly diagnosis criteria based on the morphological characteristics were established to realize the dynamic diagnosis of the gas anomalies in the mining face.
Keywords/Search Tags:gas accident, segment, morphological characteristics, key indicators, diagnostic criteria
PDF Full Text Request
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