Research on automatic memory coal caving control
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摘要: 针对综采放顶煤工作面人工放煤控制方式存在放煤效率低、质量差等问题，参考采煤机记忆割煤控制思想，提出了自动化记忆放煤控制方法。自动化记忆放煤控制通过示范学习获取记忆放煤控制数据，由液压支架电液控制系统根据记忆放煤控制数据控制液压支架放煤机构位姿，通过调整放煤口开度实现放煤量控制；同时通过液压支架放煤机构位姿与放煤量关系模型计算复核放煤量，进而修正记忆放煤控制数据，防止出现后部刮板输送机过载等情况。该方法适用于煤层较稳定、煤层厚度变化不大的放顶煤工作面。Abstract: For low coal caving efficiency, poor coal caving quality and other problems existing in manual coal caving control mode of fully-mechanized top coal caving working face, an automatic memory coal caving control method was proposed by referring to memory coal cutting control idea of shearer. Automatic memory coal caving control obtains memory coal caving control data through exemplary learning. Electro-hydraulic control system of hydraulic support controls position and attitude of coal caving mechanisms of hydraulic support according to the memory coal caving control data, so as to realize coal caving quantity control through adjusting coal caving opening degree. Meanwhile, the coal caving quantity is calculated by a relationship model between position and attitude of the coal caving mechanisms and coal caving quantity, so as to correct the memory coal caving control data for avoiding overload of rear scraper conveyer. The method is applicable to top coal caving working faces which have stable coal seam with little thickness change.
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期刊类型引用(7)
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5. 吴桐，尉瑞，刘清，魏文艳. 综放工作面智能放煤工艺研究及应用. 工矿自动化. 2021(03): 105-111 . 本站查看
6. 李庆元，杨艺，李化敏，费树岷. 基于Q-learning模型的智能化放顶煤控制策略. 工矿自动化. 2020(01): 72-79 . 本站查看
7. 张学亮，刘清，郎瑞峰，邵斌，吴少伟. 厚煤层智能放煤工艺及精准控制关键技术研究. 煤炭工程. 2020(09): 1-6 . 百度学术
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