基于因子分析的极地邮轮舱室空气污染物研究

船舶舱室空气污染物是影响舱室舒适性的重要因素。以极地邮轮舱室空气污染物为研究对象,在分析其来源及相互影响因素的基础上,提出了采用因子分子法对舱室污染物进行降维的处理方法。进一步,基于相关样本数据的基础上,分别利用SPSS软件和MATLAB编程进行了污染物的因子分析。目前已有的样本数据显示公因子为两个：第一公因子在CO、细菌总数、可吸入颗粒物、甲醛和SO2上有较大的载荷；第二个公因子在甲醛、NO2和SO2上有较大的载荷。研究结果表明：SPSS软件和MATLAB在降维分析中研究结论一致。该研究结果可为对环境舒适度要求较高的船舶舱室空气污染物主动控制提供较好的理论依据和参考。

Research on Air Pollutant for Polar Cruise Cabin based on Factorial Analysis Method

Air pollutants in ship cabins are the important factors affecting comfort. With the air pollutants of the polar cruise vessel as the research objects, a method of reducing the dimension of the air pollutant using factorial analysis were proposed based on analyzing the source and related influence factor. Furthermore, the factor analysis of pollutant was carried out by SPSS and MATLAB software respectively based on relevant sample data. At present, two common factors were shown according to the available sample data: the first common factor has a larger load on CO, total bacteria, inhalable particles, formaldehyde and SO2; The second common factor has larger load on formaldehyde, NO2 and SO2. The results show that SPSS software and MATLAB have the same research conclusion in dimension reduction analysis. Better theoretical supported and reference were provided from the results for active control of air pollutants in ship cabins with higher requirements for environmental comfort.