Analysis of coal mining impact model based on HMM model
In view of the safety problem of rock burst in coal production and mining, an assessment and analysis of coal mining impact model based on hidden Markov(HMM) model was proposed. Data samples collected under normal and abnormal conditions in coal mining environment were selected as offline training s...
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| Format: | Article |
| Language: | zho |
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National Computer System Engineering Research Institute of China
2022-06-01
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| Series: | Dianzi Jishu Yingyong |
| Subjects: | |
| Online Access: | http://www.chinaaet.com/article/3000150260 |
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| _version_ | 1849420451975004160 |
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| author | Li Weilong Wang Qing Liu Xin Zhang Canming |
| author_facet | Li Weilong Wang Qing Liu Xin Zhang Canming |
| author_sort | Li Weilong |
| collection | DOAJ |
| description | In view of the safety problem of rock burst in coal production and mining, an assessment and analysis of coal mining impact model based on hidden Markov(HMM) model was proposed. Data samples collected under normal and abnormal conditions in coal mining environment were selected as offline training samples to obtain parameters of pre-mining environment model. Then through real-time detection of coal mining data samples as online training samples, real-time data is sent to the pre-mining environment model for evaluation, and the maximum probability is obtained according to the maximum likelihood learning, and the current operating state of the system is obtained through matching. The experimental results show that the model has high reliability in the coal mining impact and the coal safety monitoring work is stable. |
| format | Article |
| id | doaj-art-802fe533ea9c42029f296cbd711d88a5 |
| institution | Kabale University |
| issn | 0258-7998 |
| language | zho |
| publishDate | 2022-06-01 |
| publisher | National Computer System Engineering Research Institute of China |
| record_format | Article |
| series | Dianzi Jishu Yingyong |
| spelling | doaj-art-802fe533ea9c42029f296cbd711d88a52025-08-20T03:31:45ZzhoNational Computer System Engineering Research Institute of ChinaDianzi Jishu Yingyong0258-79982022-06-01486899110.16157/j.issn.0258-7998.2122733000150260Analysis of coal mining impact model based on HMM modelLi Weilong0Wang Qing1Liu Xin2Zhang Canming3Anhui Academy of Coal Science，Hefei 230001，ChinaAnhui Xinhua University，Hefei 230000，ChinaAnhui Academy of Coal Science，Hefei 230001，ChinaAnhui Academy of Coal Science，Hefei 230001，ChinaIn view of the safety problem of rock burst in coal production and mining, an assessment and analysis of coal mining impact model based on hidden Markov(HMM) model was proposed. Data samples collected under normal and abnormal conditions in coal mining environment were selected as offline training samples to obtain parameters of pre-mining environment model. Then through real-time detection of coal mining data samples as online training samples, real-time data is sent to the pre-mining environment model for evaluation, and the maximum probability is obtained according to the maximum likelihood learning, and the current operating state of the system is obtained through matching. The experimental results show that the model has high reliability in the coal mining impact and the coal safety monitoring work is stable.http://www.chinaaet.com/article/3000150260rock burst pressurehidden markov modeloff-line trainingmaximum likelihood |
| spellingShingle | Li Weilong Wang Qing Liu Xin Zhang Canming Analysis of coal mining impact model based on HMM model Dianzi Jishu Yingyong rock burst pressure hidden markov model off-line training maximum likelihood |
| title | Analysis of coal mining impact model based on HMM model |
| title_full | Analysis of coal mining impact model based on HMM model |
| title_fullStr | Analysis of coal mining impact model based on HMM model |
| title_full_unstemmed | Analysis of coal mining impact model based on HMM model |
| title_short | Analysis of coal mining impact model based on HMM model |
| title_sort | analysis of coal mining impact model based on hmm model |
| topic | rock burst pressure hidden markov model off-line training maximum likelihood |
| url | http://www.chinaaet.com/article/3000150260 |
| work_keys_str_mv | AT liweilong analysisofcoalminingimpactmodelbasedonhmmmodel AT wangqing analysisofcoalminingimpactmodelbasedonhmmmodel AT liuxin analysisofcoalminingimpactmodelbasedonhmmmodel AT zhangcanming analysisofcoalminingimpactmodelbasedonhmmmodel |