Analysis and Application on the Coal Mine System Dynamics Model Based on Non-linear Regression

Modern Mining ›› 2014, Vol. 30 ›› Issue (01): 9-12.

Previous Articles Next Articles

Analysis and Application on the Coal Mine System Dynamics Model Based on Non-linear Regression

Chen Jing^1,2，Yang Yongjie^1,2，Cao Qinggui^1,2

1.College of Resources and Environmental Engineering,Shandong University of Science and Technology；2.State Key Laboratory Breeding Base of Mining Disaster Prevention and Control,Shandong

Online:2014-01-15 Published:2014-04-20

Abstract

Abstract: Firstly,the main characteristics of the coal mine sysyem is analyzed in detail.Then,the coal mine safety system dynamics model is constructed from the perspective of measure the enterprise's safety management level.Finally,the data of the coal mine syestem dynamic model is quantitative analyzed by adopting the non-linear regression method and the curve model is obtained that can reflect the dynamic change of the various elements of the mine safety system.So,the research results provide scientific basis for actual coal mine system safety management and have an important guiding significance.

Key words: Non-linear regression, Coal mine, System dynamics, Application

CHEN Jing, YANG Yong-Jie, CAO Qing-Gui. Analysis and Application on the Coal Mine System Dynamics Model Based on Non-linear Regression[J]. Modern Mining, 2014, 30(01): 9-12.

[1]	ZHOU Tong. Applications and Challenges of Intelligent Mineral Processing [J]. Modern Mining, 2024, 40(04): 24-.
[2]	CHEN Jian LEI Xiaolong LIU Zhiliang LIU Sheng DENG Shiyi XIE Meifang LU Ruizhen. Development and Application of SGTF Powder Dry Permanent Magnetic Separator [J]. Modern Mining, 2024, 40(03): 177-180.
[3]	ZHANG Jinlong. Accident Analysis and Management Measures of Non-coal Mine Roof in Longyan City [J]. Modern Mining, 2024, 40(03): 200-202.
[4]	SHENG Jianhua ZHANG Ying WEI Maoxuan HAN Daicheng. Prevention and Control of Seawater Leaching from Seabed Bedrock Ore Deposit Mining in Northwest Coastal Zone of Jiaozhou [J]. Modern Mining, 2024, 40(03): 203-207.
[5]	YANG Liangyu, SU Duoqing, NIU Xiaowen , ZHANG Xiaowei , LI Yang , PAN Meng. Practice of Transforming a Mobile Ore Distribution Trolley with a Multi-point Ore Distribution Method [J]. Modern Mining, 2023, 39(04): 221-.
[6]	PENG Wei , YANG Bo, SU Zheng, ZHANG Dongya , XIE Ling , CHEN Chen , GUO Qipeng. Research Progress in Preparation and Application of Molybdenum Disulfide Lubricant [J]. Modern Mining, 2023, 39(03): 196-199.
[7]	LIU Chengwu , JING Dongxu. Application of 4G+5G+Wi-Fi6 Integrated Communication System in Coal Mine [J]. Modern Mining, 2023, 39(02): 164-168.
[8]	QIN Yu. Application and Development of Self-rescuer in Coal Mine [J]. Modern Mining, 2023, 39(02): 247-249.
[9]	WANG Liang, HU Tingting, DENG Jiushuai. Practical Research on Green Mine Evaluation Index [J]. Modern Mining, 2023, 39(01): 255-.
[10]	JIANG Zhonghao. Application of Intelligent Fully Mechanized Mining and Caving Technology in Coal Mine [J]. Modern Mining, 2022, 38(12): 5-.
[11]	WU Zhuoru. Study on Overburden Rock Migration Law in Coal Mine Failure Area in Secondary Mining [J]. Modern Mining, 2022, 38(12): 133-.
[12]	ZHAO Jianbing. Coal Pillar Width and Roadway Section Design of Gob-side Entry in Hecaogou Coal Mine [J]. Modern Mining, 2022, 38(11): 59-.
[13]	XIANG Weihua, LIAO Zhiqiang. Research and Application of Constant Speed and Fast Response Motor Energy Saving Device [J]. Modern Mining, 2022, 38(11): 189-.
[14]	WEI Xiangjun. Study on Water Prevention and Control Technology in Coal Working Face [J]. Modern Mining, 2022, 38(11): 255-.
[15]	WANG Xiangling. Analysis and Countermeasures of Environmental Protection Tax Rlief Collection Mechanism Taking a State-owned Coal Mine Enterprises in Henan Province as an Example [J]. Modern Mining, 2022, 38(10): 15-.

Analysis and Application on the Coal Mine System Dynamics Model Based on Non-linear Regression

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments