Research on Monitoring Method of Critical Path Ventilation Resistance Situation of Mine Ventilation

Authors

  • Jun Liang

DOI:

https://doi.org/10.54691/6mv4e889

Keywords:

Mine ventilation; Critical path; Ventilation resistance; Situation monitoring; Time series prediction.

Abstract

In order to improve the safety and reliability of the ventilation system, the ventilation resistance monitoring and situation analysis methods of the ventilation path are used to diagnose the changes in mine ventilation resistance in real time and determine whether the ventilation system is healthy. Calculate the mine safety monitoring path through the critical path determination algorithm, and install multi parameter sensors (wind pressure, wind speed, temperature, humidity) in the critical path roadway. Real time calculation of mine resistance based on the barometer base point method and saving of historical monitoring parameters. By filtering out data and fitting trend curves in a two-dimensional coordinate system, the subsequent ventilation resistance is predicted using the cubic exponential smoothing method. This provides technical support for real-time control of the impact of changes in mine resistance caused by geological disasters on the mine ventilation system, and provides scientific management tools and advanced technological means for mine ventilation gas safety management and production safety.

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References

[1] Liu Xiangying. Research progress and prospects of intelligent mine ventilation[J/OL]. Industry and Mine Automation, 2025:1-12[2025-06-02].

[2] Liu Peng. Optimization of multi-level and multi-shaft mine ventilation system[J]. China Coal, 2024,50(S1):171-175.

[3] Yang Yanlong. Current status and intelligent development prospects of mine ventilation technology[J]. Inner Mongolia Coal Economy, 2024(13):166-168.

[4] Ni Jingfeng, Liu Xuefeng, Deng Lijun. Data interpolation method for missing mine ventilation parameters[J]. Journal of China Coal Society, 2024,49(5):2315-2323.

[5] Zhang Yingchao, Liu Meina, Shi Dongwen. Measurement and analysis of ventilation resistance in Nantun Coal Mine[J]. Coal Mine Modernization, 2024,33(1):80-83+88.

[6] Gao Xiaobo. Development status and trend of mine ventilation resistance measurement technology[J]. Petrochemical Industry Technology, 2019,26(10):287+289.

[7] Luo Guang. Research status and development trend of ventilation resistance measurement technology[J]. Energy Technology and Management, 2019,44(3):23-25+50.

[8] Zhang Shiling. Development status and trend of mine ventilation resistance measurement technology[J]. Safety in Coal Mines, 2019,50(6):188-191.

[9] Li Yupeng, Liu Ping, Liu Haitao, et al. Development of intelligent real-time monitoring and control system for mine ventilation safety[J]. Shaanxi Coal, 2024,43(4):128-132.

[10] Wang Pengfei. Application research of dynamic management model monitoring in mine ventilation system management[J]. China Petroleum and Chemical Standard and Quality, 2020,40(3):237-238.

[11] Duan Dongdong. Research on mine ventilation monitoring system[J]. Inner Mongolia Coal Economy, 2018(13):54-55.

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Published

22-06-2025

Issue

Section

Articles