The application relates to an indoor space design method,
system, device and medium based on a line-of-
sight attention mechanism. The method and scheme generate a multi-
modal dynamic line sequence through multi-agent congestion feedback iteration by constructing an indoor space
information model and dividing a space topological connected graph; after rendering a
panorama along the dynamic line and encoding static and dynamic features, the space
convolution double-state interruption
recovery memory network is input, local freezing update is performed on a task-oriented
state graph, decay update is performed on an interruption response
state graph, and weighted fusion is performed, and a
visual saliency prediction graph is output; then, the task-oriented weight is reset to zero to separate an interference saliency graph, spatial weighted integration and task key semantic region saliency integration are respectively performed, and a quantitative evaluation value is comprehensively obtained; when the evaluation value does not reach the standard, a mixed mechanism is used to iteratively optimize the model until the standard is reached. Therefore, attention interruption and
recovery are explicitly modeled as two independent regulation states, and quantitative evaluation and automatic optimization of space orientation and
visual experience under the disturbance of a human flow are realized.