收藏切换
Research on Intelligent Management and Control System of Blasting Operations in Multiple Working Faces Under Mines
收藏切换
Taihao Cui1, Longfu Li1, 2, Chun Wang1, Meng Li1, An Rao1
Mining Research and Development | 2026, 46(6) : 209 - 217
Less
收藏切换
Mining Research and Development | 2026, 46(6): 209-217
Research on Intelligent Management and Control System of Blasting Operations in Multiple Working Faces Under Mines
Full
Taihao Cui1, Longfu Li1, 2, Chun Wang1, Meng Li1, An Rao1
Affiliations
  • 1.School of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo, Henan 454003, China
  • 2.Maanshan General Institute of Mining Research Blasting Engineering Co., Ltd., Maanshan, Anhui 243000, China
Published: 2026-06-18
Outline
收藏切换

Based on the practical engineering background of separation of drilling and blasting operations in an iron mine, research was carried out on prominent problems induced by the separation of drilling and blasting operations, including difficulties in production organization and coordination, lagged inter-process information transmission, information silos in blasting operations, frequent operational risks, and high production costs. Using blasting accident case analysis and fault-tree-based risk assessment method for blasting operations, an intelligent management and control scheme for blasting operations in multiple working faces was established. Based on the Vue+Django framework, an intelligent blasting operation management and control system featuring real-time interaction, process task allocation, precise management of blasting materials, and multi-level personnel control was designed and developed. Results show that, under weak-signal conditions, the system maintains an information transmission delay of approximately 250 ms, a packet loss rate of 0.3%, and a reconnection time of less than 3 s. Under a concurrency level of 1 000 users, the system maintains an average response time of less than 1 s and a transaction success rate exceeding 98%. Following field application, the risk frequency of blasting operations is significantly reduced, considerable costs are saved, and blasting efficiency is improved, thereby effectively solving the coordination problems between drilling and blasting operations. The obtained results provide a feasible technical approach for the intelligent upgrading of mine blasting operations.

Separation of drilling and blasting  /  Fault-tree-based risk assessment  /  Blasting operations in multiple working face  /  Intelligent management and control system
崔太浩, 李龙福, 王春, 李梦, 饶安. 矿井下多工作面爆破工序智能管控体系研究. 矿业研究与开发, 2026 , 46 (6) : 209 -217 .
Taihao Cui, Longfu Li, Chun Wang, Meng Li, An Rao. Research on Intelligent Management and Control System of Blasting Operations in Multiple Working Faces Under Mines[J]. Mining Research and Development, 2026 , 46 (6) : 209 -217 .
Year 2026 volume 46 Issue 6
39
9
Cite this Article
BibTeX
Article Info
  • Receive Date:2025-06-16
  • Online Date:2026-10-27
  • Published:2026-06-18
Article Data
Affiliations
History
  • Received:2025-06-16
Funding
Affiliations
    1.School of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo, Henan 454003, China
    2.Maanshan General Institute of Mining Research Blasting Engineering Co., Ltd., Maanshan, Anhui 243000, China
References
Share
https://castjournals.cast.org.cn/joweb/kyyjykf/EN/
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT