Advanced perception and control method of harmful gas during construction period of coal tunnel based on DeepAR
Effective real-time treatment and control of harmful gases are key to ensuring the safety of tunnel construction workers. Currently, the monitoring ability of harmful gases is insufficient to match the processing needs, which poses significant risks to the safety of tunnel construction workers. This...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-06-01
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| Series: | Frontiers in Earth Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/feart.2023.1225287/full |
| _version_ | 1797809074193039360 |
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| author | Shengye Cao Meng Yang Meng Yang Juyi Hu Juyi Hu Jianzhong Chen Jianzhong Chen |
| author_facet | Shengye Cao Meng Yang Meng Yang Juyi Hu Juyi Hu Jianzhong Chen Jianzhong Chen |
| author_sort | Shengye Cao |
| collection | DOAJ |
| description | Effective real-time treatment and control of harmful gases are key to ensuring the safety of tunnel construction workers. Currently, the monitoring ability of harmful gases is insufficient to match the processing needs, which poses significant risks to the safety of tunnel construction workers. This paper proposes an advanced perception and treatment method for harmful gases during tunnel construction, utilizing the DeepAR algorithm. Real-time monitoring of the concentration and diffusion of harmful gases is conducted, and a harmful gas concentration prediction model is established using the DeepAR algorithm, achieving advanced perception of harmful gases during tunnel construction. The harmful gas treatment plan is developed in advance, and the effectiveness of the proposed method is demonstrated by simulation testing under realistic field scenarios and comparing with other prediction models. The method was applied in a coal mine tunnel in Qinghai Province, achieving an accuracy rate of 94.3%, which is higher compared to those obtained using RNN and LSTM algorithms. Moreover, the computational time is less than 60 s. The method provides timely perception of the concentration distribution of harmful gases in the tunnel and proposes targeted treatment measures, verifying the effectiveness of the prediction model from the perspective of practical engineering application. |
| first_indexed | 2024-03-13T06:47:08Z |
| format | Article |
| id | doaj.art-35a987f706ca4d04b75444065798671d |
| institution | Directory Open Access Journal |
| issn | 2296-6463 |
| language | English |
| last_indexed | 2024-03-13T06:47:08Z |
| publishDate | 2023-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Earth Science |
| spelling | doaj.art-35a987f706ca4d04b75444065798671d2023-06-08T05:11:51ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632023-06-011110.3389/feart.2023.12252871225287Advanced perception and control method of harmful gas during construction period of coal tunnel based on DeepARShengye Cao0Meng Yang1Meng Yang2Juyi Hu3Juyi Hu4Jianzhong Chen5Jianzhong Chen6Qinghai Province Huangyuan Highway Engineering Construction Co., Ltd., Qinghai, ChinaChina Merchants Chongqing Transportation Research and Design Institute Co., Ltd., Chongqing, ChinaNational Engineering Research Center of Highway Tunnel, Chongqing, ChinaChina Merchants Chongqing Transportation Research and Design Institute Co., Ltd., Chongqing, ChinaNational Engineering Research Center of Highway Tunnel, Chongqing, ChinaChina Merchants Chongqing Transportation Research and Design Institute Co., Ltd., Chongqing, ChinaNational Engineering Research Center of Highway Tunnel, Chongqing, ChinaEffective real-time treatment and control of harmful gases are key to ensuring the safety of tunnel construction workers. Currently, the monitoring ability of harmful gases is insufficient to match the processing needs, which poses significant risks to the safety of tunnel construction workers. This paper proposes an advanced perception and treatment method for harmful gases during tunnel construction, utilizing the DeepAR algorithm. Real-time monitoring of the concentration and diffusion of harmful gases is conducted, and a harmful gas concentration prediction model is established using the DeepAR algorithm, achieving advanced perception of harmful gases during tunnel construction. The harmful gas treatment plan is developed in advance, and the effectiveness of the proposed method is demonstrated by simulation testing under realistic field scenarios and comparing with other prediction models. The method was applied in a coal mine tunnel in Qinghai Province, achieving an accuracy rate of 94.3%, which is higher compared to those obtained using RNN and LSTM algorithms. Moreover, the computational time is less than 60 s. The method provides timely perception of the concentration distribution of harmful gases in the tunnel and proposes targeted treatment measures, verifying the effectiveness of the prediction model from the perspective of practical engineering application.https://www.frontiersin.org/articles/10.3389/feart.2023.1225287/fullhighway tunnelharmful gasDeepARadvance forecasttunnel construction |
| spellingShingle | Shengye Cao Meng Yang Meng Yang Juyi Hu Juyi Hu Jianzhong Chen Jianzhong Chen Advanced perception and control method of harmful gas during construction period of coal tunnel based on DeepAR Frontiers in Earth Science highway tunnel harmful gas DeepAR advance forecast tunnel construction |
| title | Advanced perception and control method of harmful gas during construction period of coal tunnel based on DeepAR |
| title_full | Advanced perception and control method of harmful gas during construction period of coal tunnel based on DeepAR |
| title_fullStr | Advanced perception and control method of harmful gas during construction period of coal tunnel based on DeepAR |
| title_full_unstemmed | Advanced perception and control method of harmful gas during construction period of coal tunnel based on DeepAR |
| title_short | Advanced perception and control method of harmful gas during construction period of coal tunnel based on DeepAR |
| title_sort | advanced perception and control method of harmful gas during construction period of coal tunnel based on deepar |
| topic | highway tunnel harmful gas DeepAR advance forecast tunnel construction |
| url | https://www.frontiersin.org/articles/10.3389/feart.2023.1225287/full |
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