山西煤炭2024,Vol.44Issue(2) :91-97.DOI:10.3969/j.issn.1672-5050.2024.02.014

放顶煤综合工况智能识别及自动控制方法研究

Intelligent Identification and Automatic Control of Comprehensive Working Conditions of Top Coal Caving

王蒙 张磊 许琳 王浩盛
山西煤炭2024,Vol.44Issue(2) :91-97.DOI:10.3969/j.issn.1672-5050.2024.02.014

放顶煤综合工况智能识别及自动控制方法研究

Intelligent Identification and Automatic Control of Comprehensive Working Conditions of Top Coal Caving

王蒙 1张磊 1许琳 2王浩盛3
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作者信息

  • 1. 山西大同大学 煤炭工程学院,山西 大同 037003
  • 2. 冀中能源峰峰集团梧桐庄矿,河北 邯郸 056200
  • 3. 国家能源集团国神公司上榆泉煤矿,山西忻州 034000
  • 折叠

摘要

在研究综放开采自动化放煤中,由于放顶放煤过程中突变工况对煤矸石识别准确度的影响,根据煤和煤矸石中γ射线的辐射强度不同,采用自然γ射线法对煤矸石混合物进行识别,监测放煤过程中γ射线辐射强度变化,判断顶煤放落状态.最后基于自然γ射线法设计一种放煤自动控制系统指导液压支架尾梁动作,实现放煤控制自动化.

Abstract

In the study of automated top coal caving in fully mechanized mining,sudden chan-ges of working conditions have an impact on the accuracy of coal gangue identification during top coal caving.Therefore,according to the different γ-ray radiation intensities in coal and gangue,the natural γ-ray method was used to identify the coal gangue mixture,monitor the changes of γ-ray radiation intensity during the top coal caving process,and determine the top coal caving.Fi-nally,an automatic control system was designed based on the natural γ-ray method to guide the movement of the hydraulic support tail beam and realize the automatic top coal caving.

关键词

自然γ射线法/辐射强度/控制系统/自动化放煤

Key words

natural γ-ray method/radiation intensity/control system/automatic top coal ca-ving

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基金项目

大同市科技计划重点研发(高新技术领域)项目(2022)(2022005)

山西大同大学产学研项目(2022)(2022CXY14)

出版年

2024
山西煤炭
太原理工大学 山西省煤炭学会

山西煤炭

影响因子:0.138
ISSN:1672-5050
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