Application research of alarming method for abnormal data of coal mine gas

The paper detailedly analyzed problems of how to determine lag time of data between two sensors, effect of sensor error, accuracy rate of alarm in application of alarming method for abnormal data of coal mine gas based on three kinds of correlation models of difference between the maximum and the mi...

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Main Authors: ZOU Zhe-qiang, QU Shi-jia
Format: Article
Language:zho
Published: Editorial Department of Industry and Mine Automation 2013-06-01
Series:Gong-kuang zidonghua
Subjects:
Online Access:http://www.gkzdh.cn/article/id/9167
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author ZOU Zhe-qiang
QU Shi-jia
author_facet ZOU Zhe-qiang
QU Shi-jia
author_sort ZOU Zhe-qiang
collection DOAJ
description The paper detailedly analyzed problems of how to determine lag time of data between two sensors, effect of sensor error, accuracy rate of alarm in application of alarming method for abnormal data of coal mine gas based on three kinds of correlation models of difference between the maximum and the minimum, the minimum and correlation coefficient, and proposed that data curve comparison method should be used instead of distance anemometer algorithm to determine the lag time, meanwhile, found phenomenon that movement speed of gas air mass in roadway is lower than wind speed and gave preliminary explanation for the phenomenon. It proposed a method to use mathematical statistics method to eliminate effect of sensor error. Combined with field data, verification was conducted on accuracy rate of the three kinds of correlation models, and the result shows that the alarming method can be effectively applied in practice.
first_indexed 2024-04-09T23:59:24Z
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institution Directory Open Access Journal
issn 1671-251X
language zho
last_indexed 2024-04-09T23:59:24Z
publishDate 2013-06-01
publisher Editorial Department of Industry and Mine Automation
record_format Article
series Gong-kuang zidonghua
spelling doaj.art-ca93452d7a4b44dbabc1214efbb349252023-03-17T01:53:37ZzhoEditorial Department of Industry and Mine AutomationGong-kuang zidonghua1671-251X2013-06-0139615Application research of alarming method for abnormal data of coal mine gasZOU Zhe-qiangQU Shi-jiaThe paper detailedly analyzed problems of how to determine lag time of data between two sensors, effect of sensor error, accuracy rate of alarm in application of alarming method for abnormal data of coal mine gas based on three kinds of correlation models of difference between the maximum and the minimum, the minimum and correlation coefficient, and proposed that data curve comparison method should be used instead of distance anemometer algorithm to determine the lag time, meanwhile, found phenomenon that movement speed of gas air mass in roadway is lower than wind speed and gave preliminary explanation for the phenomenon. It proposed a method to use mathematical statistics method to eliminate effect of sensor error. Combined with field data, verification was conducted on accuracy rate of the three kinds of correlation models, and the result shows that the alarming method can be effectively applied in practice.http://www.gkzdh.cn/article/id/9167coal mine safety monitoringgas sensoralarming methodgas diffusiondata abnormalitysensor erroraccuracy rate of alarmcorrelation model
spellingShingle ZOU Zhe-qiang
QU Shi-jia
Application research of alarming method for abnormal data of coal mine gas
Gong-kuang zidonghua
coal mine safety monitoring
gas sensor
alarming method
gas diffusion
data abnormality
sensor error
accuracy rate of alarm
correlation model
title Application research of alarming method for abnormal data of coal mine gas
title_full Application research of alarming method for abnormal data of coal mine gas
title_fullStr Application research of alarming method for abnormal data of coal mine gas
title_full_unstemmed Application research of alarming method for abnormal data of coal mine gas
title_short Application research of alarming method for abnormal data of coal mine gas
title_sort application research of alarming method for abnormal data of coal mine gas
topic coal mine safety monitoring
gas sensor
alarming method
gas diffusion
data abnormality
sensor error
accuracy rate of alarm
correlation model
url http://www.gkzdh.cn/article/id/9167
work_keys_str_mv AT zouzheqiang applicationresearchofalarmingmethodforabnormaldataofcoalminegas
AT qushijia applicationresearchofalarmingmethodforabnormaldataofcoalminegas