首页|Evaluation and intelligent deployment of coal and coalbed methane coupling coordinated exploitation based on Bayesian network and cuckoo search

Evaluation and intelligent deployment of coal and coalbed methane coupling coordinated exploitation based on Bayesian network and cuckoo search

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Coal and coalbed methane(CBM)coordinated exploitation is a key technology for the safe exploitation of both resources.However,existing studies lack the quantification and evaluation of the degree of coordi-nation between coal mining and coalbed methane extraction.In this study,the concept of coal and coalbed methane coupling coordinated exploitation was proposed,and the corresponding evaluation model was established using the Bayesian principle.On this basis,the objective function of coal and coalbed methane coordinated exploitation deployment was established,and the optimal deployment was determined through a cuckoo search.The results show that clarifying the coupling coordinated level of coal and coalbed methane resource exploitation in coal mines is conducive to adjusting the deploy-ment plan in advance.The case study results show that the evaluation and intelligent deployment method proposed in this paper can effectively evaluate the coupling coordinated level of coal and coalbed methane resource exploitation and intelligently optimize the deployment of coal mine operations.The optimization results demonstrate that the safe and efficient exploitation of coal and CBM resources is promoted,and coal mining and coalbed methane extraction processes show greater cooperation.The observations and findings of this study provide a critical reference for coal mine resource exploitation in the future.

Coal and coalbed methaneCoupling coordinated exploitationBayesian networkCuckoo searchIntelligent optimization

Quanle Zou、Zihan Chen、Zhiheng Cheng、Yunpei Liang、Wenjie Xu、Peiran Wen、Bichuan Zhang、Han Liu、Fanjie Kong

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State Key Laboratory of Coal Mine Disaster Dynamics and Control,School of Resources and Safety Engineering,Chongqing University,Chongqing 400044,China

North China Institute of Science and Technology,Beijing 100083,China

Key Laboratory of Mine Disaster Prevention and Control in Hebei Province,Langfang 065000,China

重庆市自然科学基金中央高校基本科研业务费专项国家自然科学基金

cstc2020jcyjmsxmX08362020CDJ-LHZZ-00252074041

2022

矿业科学技术学报(英文版)
中国矿业大学

矿业科学技术学报(英文版)

CSTPCDCSCDSCIEI
影响因子:1.222
ISSN:2095-2686
年,卷(期):2022.32(6)
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