The invention discloses a multi-
source data-based
smoke furnace rainfall enhancement operation condition discrimination method and
system, and the method comprises the steps: obtaining the multi-source meteorological data and rainfall enhancement indexes of a preset
smoke furnace, obtaining the
cloud cover and cloud conditions based on the multi-source meteorological data, effectively raising the
wind speed and the conveying
wind direction, and obtaining the rainfall enhancement operation condition of the preset
smoke furnace. The method comprises the following steps: acquiring atmospheric stability of a cloud region based on a solar
radiation level, a cloud amount and a horizontal
wind speed component of three-dimensional
wind speed data, predicting a space-time
point location of a low cloud cluster arriving at an operation hillside according to atmospheric stability grading based on a cloud region image, performing space overlapping calculation on a transmission
wind direction and the space-time
point location, and obtaining a target
precipitation enhancement region. And the lifting efficiency is calculated according to the effective lifting wind speed and the smoke release amount, and the operation conditions of the target
precipitation increasing area are judged based on the lifting efficiency, the atmospheric stability, the cloud amount and the cloud thickness. According to the method, the atmospheric stability and the operation cloud condition are used for comprehensively judging the operation condition of smoke furnace
precipitation enhancement, the precipitation enhancement operation precision is improved, and meanwhile good
interpretability is achieved.