Research progress of mine intelligent ventilation theory and technology
The safety assurance of intelligent mine building in China is intelligent mine ventilation. The idea of intelligent sensing and interactive control of underground ventilation human-machine-loop integrated information flow is pointed out based on the “combination of level and battle” in order to genu...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Coal Science and Technology
2023-01-01
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| Series: | Meitan kexue jishu |
| Subjects: | |
| Online Access: | http://www.mtkxjs.com.cn/article/doi/10.13199/j.cnki.cst.2022-2212 |
| _version_ | 1797816712207269888 |
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| author | ZHOU Fubao XIN Haihui WEI Lianjiang SHI Guoqing XIA Tongqiang |
| author_facet | ZHOU Fubao XIN Haihui WEI Lianjiang SHI Guoqing XIA Tongqiang |
| author_sort | ZHOU Fubao |
| collection | DOAJ |
| description | The safety assurance of intelligent mine building in China is intelligent mine ventilation. The idea of intelligent sensing and interactive control of underground ventilation human-machine-loop integrated information flow is pointed out based on the “combination of level and battle” in order to genuinely accomplish intelligent mine ventilation. Additionally, it covers the theory and design of mine intelligent ventilation, as well as accurate monitoring and early warning systems, real-time network problem-solving, fault diagnostics, and intelligent decision-making. Furthermore, it supports the platform structure of the mine intelligent ventilation system, the creation of new sensors for accurate ventilation parameter monitoring and arrangement strategy optimization, the processing of ventilation parameter information flow, the method for solving the wind network, the integration of the mine climate and ventilation network, the solution to the wind network’s response, and the concept of mine intelligent ventilation. To avoid the inaccuracy of point wind velocity measurement brought on by an uneven distribution of wind velocity in shaft section, a novel technique of direct measurement of wind volume in complete section is presented; To increase the precision of real-time wind network solution and the stability of routine operation of intelligent ventilation, a real-time wind resistance adaptive adjustment wind network solving model with heat and humidity coupling has been created. Building a catastrophe evolution model for coal and gas protrusion, fire, and other disasters requires the use of a field-area-network coupling numerical solution approach based on full-size disaster test data. Additionally, based on full-scale disaster test data, it developed a coupled field-area-network numerical solution method, constructed a disaster evolution model for coal and gas protrusion, fire, and gas explosion, and overcame the obstacle to disaster autonomous decision making and control of mine intelligent ventilation system; In conjunction with implementation cases for mine intelligent ventilation, it elaborated the field implementation and operation process of mine intelligent ventilation in regards to precise wind measurement, linkage control of ventilation facilities and equipment, intelligent fire and dust prevention, and pointed out the issues and future direction of mine intelligent ventilation construction. |
| first_indexed | 2024-03-13T08:42:49Z |
| format | Article |
| id | doaj.art-230428340ac54a4fb82e40729c8bfb0d |
| institution | Directory Open Access Journal |
| issn | 0253-2336 |
| language | zho |
| last_indexed | 2024-03-13T08:42:49Z |
| publishDate | 2023-01-01 |
| publisher | Editorial Department of Coal Science and Technology |
| record_format | Article |
| series | Meitan kexue jishu |
| spelling | doaj.art-230428340ac54a4fb82e40729c8bfb0d2023-05-30T08:53:39ZzhoEditorial Department of Coal Science and TechnologyMeitan kexue jishu0253-23362023-01-0151131332810.13199/j.cnki.cst.2022-22122022-2212Research progress of mine intelligent ventilation theory and technologyZHOU FubaoXIN Haihui0WEI Lianjiang1SHI Guoqing2XIA Tongqiang3School of Safety and Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Safety and Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Safety and Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Safety and Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaThe safety assurance of intelligent mine building in China is intelligent mine ventilation. The idea of intelligent sensing and interactive control of underground ventilation human-machine-loop integrated information flow is pointed out based on the “combination of level and battle” in order to genuinely accomplish intelligent mine ventilation. Additionally, it covers the theory and design of mine intelligent ventilation, as well as accurate monitoring and early warning systems, real-time network problem-solving, fault diagnostics, and intelligent decision-making. Furthermore, it supports the platform structure of the mine intelligent ventilation system, the creation of new sensors for accurate ventilation parameter monitoring and arrangement strategy optimization, the processing of ventilation parameter information flow, the method for solving the wind network, the integration of the mine climate and ventilation network, the solution to the wind network’s response, and the concept of mine intelligent ventilation. To avoid the inaccuracy of point wind velocity measurement brought on by an uneven distribution of wind velocity in shaft section, a novel technique of direct measurement of wind volume in complete section is presented; To increase the precision of real-time wind network solution and the stability of routine operation of intelligent ventilation, a real-time wind resistance adaptive adjustment wind network solving model with heat and humidity coupling has been created. Building a catastrophe evolution model for coal and gas protrusion, fire, and other disasters requires the use of a field-area-network coupling numerical solution approach based on full-size disaster test data. Additionally, based on full-scale disaster test data, it developed a coupled field-area-network numerical solution method, constructed a disaster evolution model for coal and gas protrusion, fire, and gas explosion, and overcame the obstacle to disaster autonomous decision making and control of mine intelligent ventilation system; In conjunction with implementation cases for mine intelligent ventilation, it elaborated the field implementation and operation process of mine intelligent ventilation in regards to precise wind measurement, linkage control of ventilation facilities and equipment, intelligent fire and dust prevention, and pointed out the issues and future direction of mine intelligent ventilation construction.http://www.mtkxjs.com.cn/article/doi/10.13199/j.cnki.cst.2022-2212intelligent mine ventilationreal-time wind network solutionprecise monitoring and warningventilation fault diagnosticsdisaster coupling solving model |
| spellingShingle | ZHOU Fubao XIN Haihui WEI Lianjiang SHI Guoqing XIA Tongqiang Research progress of mine intelligent ventilation theory and technology Meitan kexue jishu intelligent mine ventilation real-time wind network solution precise monitoring and warning ventilation fault diagnostics disaster coupling solving model |
| title | Research progress of mine intelligent ventilation theory and technology |
| title_full | Research progress of mine intelligent ventilation theory and technology |
| title_fullStr | Research progress of mine intelligent ventilation theory and technology |
| title_full_unstemmed | Research progress of mine intelligent ventilation theory and technology |
| title_short | Research progress of mine intelligent ventilation theory and technology |
| title_sort | research progress of mine intelligent ventilation theory and technology |
| topic | intelligent mine ventilation real-time wind network solution precise monitoring and warning ventilation fault diagnostics disaster coupling solving model |
| url | http://www.mtkxjs.com.cn/article/doi/10.13199/j.cnki.cst.2022-2212 |
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