A device for controlling a blast in a blast furnace, comprising: an imaging device for capturing an image of a charging material charged into the blast furnace; and at least one sensor for obtaining at least one piece of sensing data for indicating permeability of the blast furnace, wherein the at least one sensor includes: a pressure sensor for measuring a pressure in the blast furnace; a temperature sensor for measuring a temperature in the blast furnace; or a gas sensor for measuring a gas component discharged from the blast furnace; a blast volume predictive model database for storing a blast volume predictive model based on a neural network algorithm for estimating a blast volume of the blast furnace, a blast control device comprising a processor, wherein the blast control device includes: a data collector configured to collect particle size data of the charging material from the image; a blast volume predictor configured to obtain a blast volume predictive value of the blast furnace by using the particle size data and the at least one piece of sensing data as input data of the blast volume predictive model; and a blast volume controller configured to control a hot-blast volume supplied into the blast furnace according to the blast volume predictive value, wherein the imaging device is positioned on a charging conveyor belt that transports the charging material into the blast furnace, and obtains the image of the charging material charged into the blast furnace by photographing the conveyor belt. an imaging device for capturing an image of a charging material charged into the blast furnace; and at least one sensor for obtaining at least one piece of sensing data for indicating permeability of the blast furnace, wherein the at least one sensor includes: a pressure sensor for measuring a pressure in the blast furnace; a temperature sensor for measuring a temperature in the blast furnace; or a gas sensor for measuring a gas component discharged from the blast furnace; a pressure sensor for measuring a pressure in the blast furnace; a temperature sensor for measuring a temperature in the blast furnace; or a gas sensor for measuring a gas component discharged from the blast furnace; a blast volume predictive model database for storing a blast volume predictive model based on a neural network algorithm for estimating a blast volume of the blast furnace, a blast control device comprising a processor, wherein the blast control device includes: a data collector configured to collect particle size data of the charging material from the image; a blast volume predictor configured to obtain a blast volume predictive value of the blast furnace by using the particle size data and the at least one piece of sensing data as input data of the blast volume predictive model; and a blast volume controller configured to control a hot-blast volume supplied into the blast furnace according to the blast volume predictive value, wherein the imaging device is positioned on a charging conveyor belt that transports the charging material into the blast furnace, and obtains the image of the charging material charged into the blast furnace by photographing the conveyor belt. a data collector configured to collect particle size data of the charging material from the image; a blast volume predictor configured to obtain a blast volume predictive value of the blast furnace by using the particle size data and the at least one piece of sensing data as input data of the blast volume predictive model; and a blast volume controller configured to control a hot-blast volume supplied into the blast furnace according to the blast volume predictive value, wherein the imaging device is positioned on a charging conveyor belt that transports the charging material into the blast furnace, and obtains the image of the charging material charged into the blast furnace by photographing the conveyor belt.