Evidence map›Paper›PMID 38654138›Full record

ArticleScientific reports2024

Design and study of mine silo drainage method based on fuzzy control and Avoiding Peak Filling Valley strategy.

Meng Wang, Jiaxu Kang, Weiwei Liu, Meng Li, Jinshuai Su, Zhongzheng Fang, Xin Li, Liyou Shang, Fan Zhang, Chengbin Guo

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Meng WangCollege of Mining Engineering, Liaoning Technical University, Fuxin, China.
Jiaxu KangCollege of Mining Engineering, Liaoning Technical University, Fuxin, China. kangjiaxu2022@163.com.
Weiwei LiuCollege of Mining Engineering, Liaoning Technical University, Fuxin, China.
Meng LiCollege of Mining Engineering, Liaoning Technical University, Fuxin, China.
Jinshuai SuCollege of Mining Engineering, Liaoning Technical University, Fuxin, China.
Zhongzheng FangCollege of Mining Engineering, Liaoning Technical University, Fuxin, China.
Xin LiCollege of Mining Engineering, Liaoning Technical University, Fuxin, China.
Liyou ShangCollege of Mining Engineering, Liaoning Technical University, Fuxin, China.
Fan ZhangXima Coal Mine of Shenyang Coking Coal Co. Ltd, Shenyang, Liaoning, China.
Chengbin GuoMixlinker Networks (Shenzhen) Inc, Shenzhen, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coal is a non-renewable fossil energy source on which humanity relies heavily, and producing one ton of raw coal requires the discharge of 2-7 tons of mine water from the ground. The huge drainage task increases the cost of coal mining in coal mines significantly, so saving the drainage cost while guaranteeing the safe production of coal mines is a problem that needs to be solved urgently. Most of the fuzzy controllers used in the traditional dynamic planning methods applied to mine drainage are two-dimensional fuzzy controllers with limited control effect, so the traditional two-dimensional fuzzy controllers are improved by introducing the rate of change of gushing water to form a three-dimensional fuzzy controller with three-dimensional control of instantaneous section-water level-rate of change of gushing water, and at the same time, the optimized dynamic planning method is designed by combining the Avoiding Peak Filling Valley strategy and the optimal dy-namic planning method is used in conjunction with the un-optimized dynamic planning method. The optimized dynamic planning method is applied to the same coal mine water silo gushing water experiments; experimental comparison found that the pumping station system before the optimi-zation of the electricity consumed is 52,586 yuan/day, while after the optimization of the electricity consumed is reduced to 41,692 yuan/day, the cost per day consumed compared with the previous reduction of 20.69%, a year can be saved 3,969,730 yuan. Therefore, the mine water bin drainage method based on fuzzy control and Avoiding Peak Filling Valley strategy proposed in this paper can be used as an improvement method of the existing mine drainage method, which can further ex-pand the economic benefits of coal mines and realize safe production while realizing cost savings.

Indexed as

Avoiding Peak Filling Valley strategyCoal mine safetyFuzzy controlIntelligent mineMine drainageSimulation modeling

Identifiers

PMID38654138
PMCPMC11039654

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.