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基于在北京怀柔北机务段所进行的机车柴油机的水阻试验,将实时监测获得的大量数据进行处理,找到了CO、NO、NO2、NOx的浓度与转速和功率之间的关系,建立了数学模型,为预测机车柴油机污染物的排放情况提供了理论依据。
Based on the water resistance test of locomotive diesel engine carried out in Huairou North Locomotive Depot in Beijing, a large amount of data obtained from real-time monitoring was processed to find the relationship between CO, NO, NO2, NOx concentration and speed and power, and a mathematical Model, provides a theoretical basis for predicting the emission of locomotive diesel pollutants.