摘要
为了有效降低综采工作面采煤机在采煤过程中产生的大量粉尘,在综采工作面的液压支架处增设采煤机的外喷雾降尘系统;通过多点分布式粉尘浓度传感器对采煤机作业区附近的粉尘浓度进行实时检测,将多传感器信息融合技术与模糊控制方法进行有机结合,对粉尘浓度空间分布进行立体重组和综合分析,从而控制喷雾系统实现对综采工作面的快速降尘。实验结果表明,基于模糊控制信息融合的采煤机喷雾降尘系统响应速度快,采煤机累计作业100 h时,采用改进后的水雾降尘系统较原有水雾降尘系统节约水能消耗近30%,粉尘浓度平均值下降了约55%,降尘效果理想,大大节约水能能耗,系统的鲁棒性好,因而具有非常好的实用价值和推广价值。
In order to reduce the large amount of dust in the mining process effectively, which is produced by coal winning machine of comprehensive mechanized mining face, a dust spray system of a coal winning machine is installed in hydraulic support of fully mechanized working faces; the dust concentration near the operation area of coal mining machine is detected in real-time by the multi point distributed dust concentration sensor, the strategy of combining the technology of multi-sensor information fusion and fuzzy control method is used to realize 3 D reconstruction and comprehensive analysis on the distribution of dust concentration in space to control the spray system to precipitate dust around fully mechanized mining faces rapidly. The experimental results show that the water- spraying dust suppression control system for coal winning machine based on fuzzy control information fusion has shorter response time. Instead of original water mist dust system, the improved water mist dust system saves water by nearly 30% when the coal winning machine works 100 h. And the average dust concentration is decreases by nearly 55%. The desirable benefits of dust suppression and water consumption are significant and the system has good robustness. Thus, it has very good practical value and popularization value.
出处
《广西大学学报（自然科学版）》
CAS
北大核心
2015年第2期421-426,共6页
Journal of Guangxi University（Natural Science Edition）
基金
国家高技术研究发展计划(863计划)资助项目(2013AA06A412)
材料腐蚀与防护四川省重点实验室开放基金项目(2014CL18)
工业装备结构分析重点实验室开放基金项目(大连理工大学)(GZ1402)
辽宁省高等学校杰出青年学者成长计划项目(LJQ2014036)
辽宁省百千万人才项目(辽人社{2014}229号)
教育部博士点基金项目(20132121120011)
辽宁"百千万人才工程"培养经费资助项目(2014921070)
关键词
综采工作面
降尘
信息融合
模糊控制
鲁棒性
comprehensive mechanized mining face
dust suppression
information fusion
fuzzy control
robustness
