Analysis and verification methods of abnormal data of coal mine safety monitoring system

Three most common types of pseudo data and the causes were analyzed taking gas data as an example, and starting from demand of data analysis and pseudo data identification in upgrading program of coal mine safety monitoring system. For the pseudo data generated by sensor calibration, it is proposed...

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Main Author: XING Chengcheng
Format: Article
Language:zho
Published: Editorial Department of Industry and Mine Automation 2017-06-01
Series:Gong-kuang zidonghua
Subjects:
Online Access:http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2017.06.004
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author XING Chengcheng
author_facet XING Chengcheng
author_sort XING Chengcheng
collection DOAJ
description Three most common types of pseudo data and the causes were analyzed taking gas data as an example, and starting from demand of data analysis and pseudo data identification in upgrading program of coal mine safety monitoring system. For the pseudo data generated by sensor calibration, it is proposed to add calibration experiment specifically for identification of the pseudo data. For the pseudo data generated by electromagnetic interference, a method of simulating gas concentration value of the interference point by embedding error code in sensor program is proposed. For the pseudo data generated by transmission or equipments failure, a method of randomly manufacturing sensor or transmission line failure and observing the data processing results is proposed. The effectiveness and feasibility of the proposed methods were verified by simulation test of safety monitoring system of a certain manufacturer.
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spelling doaj.art-b28f6c030b8d4ee9a47fb2e4e45b2ad42023-03-17T01:41:32ZzhoEditorial Department of Industry and Mine AutomationGong-kuang zidonghua1671-251X2017-06-01436141710.13272/j.issn.1671-251x.2017.06.004Analysis and verification methods of abnormal data of coal mine safety monitoring systemXING ChengchengThree most common types of pseudo data and the causes were analyzed taking gas data as an example, and starting from demand of data analysis and pseudo data identification in upgrading program of coal mine safety monitoring system. For the pseudo data generated by sensor calibration, it is proposed to add calibration experiment specifically for identification of the pseudo data. For the pseudo data generated by electromagnetic interference, a method of simulating gas concentration value of the interference point by embedding error code in sensor program is proposed. For the pseudo data generated by transmission or equipments failure, a method of randomly manufacturing sensor or transmission line failure and observing the data processing results is proposed. The effectiveness and feasibility of the proposed methods were verified by simulation test of safety monitoring system of a certain manufacturer.http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2017.06.004coal mine safety monitoring systemupgradingabnormal datapseudo datadata inspectio
spellingShingle XING Chengcheng
Analysis and verification methods of abnormal data of coal mine safety monitoring system
Gong-kuang zidonghua
coal mine safety monitoring system
upgrading
abnormal data
pseudo data
data inspectio
title Analysis and verification methods of abnormal data of coal mine safety monitoring system
title_full Analysis and verification methods of abnormal data of coal mine safety monitoring system
title_fullStr Analysis and verification methods of abnormal data of coal mine safety monitoring system
title_full_unstemmed Analysis and verification methods of abnormal data of coal mine safety monitoring system
title_short Analysis and verification methods of abnormal data of coal mine safety monitoring system
title_sort analysis and verification methods of abnormal data of coal mine safety monitoring system
topic coal mine safety monitoring system
upgrading
abnormal data
pseudo data
data inspectio
url http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2017.06.004
work_keys_str_mv AT xingchengcheng analysisandverificationmethodsofabnormaldataofcoalminesafetymonitoringsystem