Open AccessResearch on Coal Mine Risk Control Technology and Platform Base on Big Data
Author(s) -
Jiang Jiachen,
Dejun Miao
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/647/1/012057
Subject(s) - coal mining , big data , risk management , coal , control (management) , chart , mining engineering , engineering , risk control , risk analysis (engineering) , data mining , computer science , artificial intelligence , waste management , business , statistics , mathematics , finance
In order to improve the risk management and control ability, this paper studies coal mine risk management technology and big data platforms. First, BP neural network was optimized through data mining, and correction parameter technology. Based on this, a coal mine risk data prediction model was constructed. Then, combined with the control chart analysis, the coal mine risk early prevention method was proposed. At last, a big data platform to manage coal mine risk was developed. The results of this paper provide implementation methods and tools for coal mine risk management and control, and have reference significance for other enterprises.