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基于元胞自动机的集约化矿井调风模型分析与仿真 被引量:16

Analysis and simulation of intensive mine air regulation model based on the cellular automaton
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摘要 针对高度集约化矿井采掘接替快,通风系统分支需风量变化频繁的现状,建立了分支风阻调节、风机变频调节及两者结合的自动化调节模型.以某矿局部通风系统为原型,分析确定了最小余数分支并对其风量进行监测,计算出关联分支的风量,实现对风网分支风量的全面监测判断.当某分支需风量变化时,在通风网络中建立元胞自动机模型,计算出最佳关联分支风阻的调节方案;将核定需风量代入风网进行迭代解算,反演计算出关联分支的调节风阻,通过风网解算超前验证预期的调节结果.根据分支核定的需风量迭代解算出风网总需风量,在风机特性曲线库中查找所需风机运行频率,实现调节过程的超前模拟.开发了通风系统关键分支需风量自动化调节软件,仿真验证了分支需风量变化时关联分支风阻、风机频率与两者结合调节方法的可行性. In view of the present situation that highly intensive mining was produced quickly, and the air quantity requirement of some branch was changed frequently. The ventilation resistance of branch regulation, fan frequency adjustment and the combination regulation auto-matic control models were established. Local ventilation system was took as a prototype in a certain coal mine, the minimal residual branch was determined and the air quantity of the branch was monitored, then the air quantity of association branches were calculated, and the air quantity of overall the branches monitoring in the ventilation network was realized. When the air quantity requirement of some branch changed, the cellular automaton model in the yen-tilation network was established, and the optimal regulation solution for the ventilation resist- ance of association branch was calculated. The required air quantity of the key branch was brought into the ventilation network, the ventilation resistance of the regulation branch was inversion calculated by the iterative solution, and the adjustment results were verified through the ventilation network calculation in advance. The total requirement air quantity in the venti- lation network was calculated by the air quantity of the key branch, the fan operating frequency in fan characteristic curve library was found out, and the advanced simulation of the regulation process was achieved. The automatic software for regulating requirement air quantity of key branches in the ventilation system was developed. The simulation results show that the ventilation resistance of branch regulation, fan frequency adjustment and the combination regulation methods are feasible.
出处 《中国矿业大学学报》 EI CAS CSCD 北大核心 2017年第4期755-761,共7页 Journal of China University of Mining & Technology
基金 国家重点研发计划专项项目(2016YFC0801800) 国家自然科学基金青年基金项目(51404263) 江苏省自然科学基金青年基金项目(BK20150195 BK20140187) 江苏高校优势学科建设工程资助项目(PAPD)
关键词 调风模型 关联分支 元胞自动机 超前模拟 仿真验证 model of air quantity adjustment related branches cellular automaton advanced simulation simulate verification
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