The invention relates to the technical field of intelligent
data analysis, in particular to an intelligent dust suppression decision-making method and
system for storage
yard dust. The method comprises the steps that the dust concentration of a target storage
yard monitoring point is obtained, and interpolation is conducted on the dust concentration to obtain a dust concentration
distribution diagram; acquiring meteorological data of a target storage
yard monitoring point, and calculating a
pollution source position and
pollution source intensity by using the meteorological data and the dust concentration
distribution diagram; a
moisture content change
trend prediction model is constructed, and a stack
surface moisture content prediction value changing along with time is obtained through the
moisture content change
trend prediction model based on the obtained stacking mechanism characteristics of the
pollution source position, the stack
surface moisture content and the meteorological data; and when it is judged that the predicted value of the
surface moisture content of the stack is smaller than a preset threshold value of the surface
moisture content of the stack, water spraying dust suppression is conducted on the stack at the position of the pollution source based on the intensity of the pollution source. According to the invention, a
closed loop is formed through monitoring,
traceability, prediction and
decision making, and the dust suppression accuracy and efficiency are improved.