Study on monitoring of smoke Ringelmann black degree bassed DSP and ANN

By the comprehensive use of DSP technique and BP Neural Network, the system realizes the automatic monitoring to the black smoke pollution and the classification to Ringelmann black degree. Along with the radical avoidance of the measure error caused by subjective factors, it avoids the out-dated status of subjective evaluating. With the use of time and space domain combined background brightness deduction, it weakens the influence of the sky background dispersion to the accuracy of the result greatly.