Extinction value prediction of defogging effect for evaporative cooling equipments with shield condensation module

According to the plume fog problem of evaporative cooling equipment in winter, builds a defogging experimental device with shield condensation module and mixed air chamber. The Logistic distribution function is used to fit the experimental results of the relationship between extinction value and mixed wind ratio, and the average fit degree is 0.985 4. The extinction value of the outlet plume fog is predicted by establishing a BP neural network model, and the extinction value is proposed as an evaluation index for the defogging effect. The prediction results show that the BP neural network has high prediction accuracy for extinction value, and the correlation coefficient, mean relative error and root mean square error of the 30 groups of extinction prediction values are 0.998 99±0.000 08, (0.763 3±0.020 4)% and (6.441±0.222)×10-3, respectively, under 95% confidence.