地下铀矿山氡析出智能优化控制研究

铀矿山氡及氡子体具有放射性，其浓度过高严重危害井下作业人员的身心健康，因此，开展氡析出优化控制具有重要的现实意义与应用前景。本文根据铀矿山氡析出系统的影响因素，应用自适应模糊推理系统构建铀矿山氡析出与其影响因素关系模型，然后应用并行遗传算法优化模型参数，实现铀矿山氡析出率最小化。并以某铀矿山安全生产为例，考虑其影响氡析出的主要影响因素为通风参数，应用自适应模糊遗传优化方法实现了铀矿山氡析出率与通风参数之间最优控制问题，为改善通风系统提供了最优决策依据。

Intelligent Optimization Control of Radon Exhalation inUnderground Uranium Mines

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.