This application discloses a method, apparatus, storage medium, and
computer device for visual environment detection. The method includes: in response to receiving twin model update information corresponding to a target park, generating a content area distribution map corresponding to each
content type based on key events within a target time period, the
frequency of occurrence of key events, the number of times the digital twin model corresponding to each sub-area is displayed, and key content tags under the
content type; generating a prediction model corresponding to each area based on the different importance of each area in the content area distribution map, wherein each prediction model shares a common model module; determining a sequence of visual environment detection distribution maps under the
content type corresponding to the content area distribution map using the prediction
model set; generating a corresponding twin model based on the sequence of visual environment detection distribution maps; and in response to receiving twin model display information for at least one content type, overlaying and displaying the corresponding at least one twin model.