【摘要】 针对矿用救生舱舱内环境动态评价的问题,采用支持向量机多重分类机制进行评价研究。确定了舱内环境评价的等级指标;将环境评价问题处理为分类和分级两部分,分别给出了相应的函数。使用粒子群优化算法进行了参数优化;制订了具体的评价方案,得出了动态评价结果。经现场试验证明,该环境评价方法可以对救生舱舱内环境进行有效、实时的动态评价,算法收敛速度较快,为救生舱舱内环境调控提供了可靠的理论基础和充分的现场数据。更多还原

【Abstract】 Aiming at the problem of dynamic environment assessment in coal mine refuge chamber,support vector machine multi-classification was adopted to assess research.The classification targets of inner environment were defined.Environment assessment of refuge chamber was divided into two parts,which were classification and grading.The corresponding functions were given.The parameters were optimized by using particle swarm organization,formulates specific assessment scheme,and final dynamic assessment results were obtained.It was proved that the assessment scheme can assess inner environment of coal mine refuge chamber in real time and effectively by experiments,which are accomplished in a practical chamber.Furthermore,the convergence speed of assessment algorithm was improved.It provided reliable theoretical basis and adequate data.更多还原