南华大学学报（自然科学版）Issue(4)：35-39,5.
地下铀矿山氡析出智能优化控制研究
Intelligent OPtimization Control of Radon Exhalation in Underground Uranium Mines
摘要
Abstract
There are radioactive for radon and its progeny in uranium mining,whose high concentration do harm to the health of mine workers,therefore,it is of important practical significance and application prospects to carry out optimal control of radon exhalation. Based on the factors of radon exhalation system in uranium mining,this paper constructs the model of the relationship between radon exhalation and its influencing factors in urani_um mine with adaptive fuzzy inference system,and then optimises model parameters to a_chieve the leasted radon exhalation rate in uranium mining applying the parallel genetic al_gorithm. And taking a uranium mine safety production as an example,considering ventila_tion parameters as the main affecting factors of radon exhalation system,it carries out opti_mal control problems of radon exhalation rate and ventilation parameter by adaptive fuzzy genetic optimization method in a uranium mine,which provides the optimal decision basis for improving ventilation system.关键词
放射性污染/氡析出/自适应模糊推理系统/并行遗传算法Key words
radioactive pollution/radon exhalation/adaptive network based fuzzy inference system/parallel genetic algorithm分类
资源环境引用本文复制引用
戴剑勇,刘丁雄..地下铀矿山氡析出智能优化控制研究[J].南华大学学报（自然科学版）,2014,(4):35-39,5.基金项目
湖南省自然科学基金资助项目(10JJ2041) （10JJ2041）
国家自然科学基金资助项目(51174116) （51174116）
