基于模糊模式识别的燃煤电厂大气质量评价

Atmospheric Quality Assessment in Coal-fired Power Plants Based on Fuzzy Pattern Recognition

基于模糊数学原理,将模式识别方法引入到燃煤电厂大气环境质量的评价中。分析现有贴近度函数在环境影响识别中的不足,定义表示环境质量样本的模糊向量的距离,改进贴近度函数,使之更适用于环境质量识别。改进后的贴近度函数能够充分体现环境样本模糊向量各个分量的信息。将改进贴近度的模糊模式识别应用到实际大气质量评价中。结果表明,改进后的模糊模式识别模型提高了环境因子观测值差别的检出能力,表明评价结果更符合客观实际。

Based on the principle of fuzzy mathematics, pattern recognition method was introduced into the atmospheric enviromental quality assessment in coal-fired power plants. Defects of approach degree for environmental impact assessment were analyzed. Fuzzy vector distance was defined, approach degree function was improved to asjust to environment recognition. The improved function can fully reflect the information about the fuzzy vector of environment samples. Improved model was applied to atmospheric quality assessment in a in coal-fired power plant. The results show that the improved model strenthens the differentiated ability of environment gene observation value. In addition, it is proved that the evaluation results are more fitted to the fact by experiment.