An intelligent garbage dynamic collection and transportation scheduling method and system based on recycling logistics optimization

Abstract

The application discloses a kind of intelligent garbage dynamic clean and transport scheduling method and system based on recycling logistics optimization, belong to garbage transportation scheduling technical field, specifically include: the full load rate data, opening and closing frequency data and people flow density distribution data are carried out feature splicing, construct the node feature sequence with time stamp, and based on the space geographical position of each garbage delivery terminal, construct space topology adjacency matrix, fusion generation space-time graph data;Space-time graph data is input into space-time graph convolution network to extract regional topological correlation features and time series dependent features, and output the capacity evolution prediction curve of garbage delivery terminal;According to the capacity evolution prediction curve, calculate the overflow risk index of the corresponding garbage delivery terminal, generate clean and transport task node set;Combining clean and transport task node set, the current position coordinates of clean and transport vehicle and the dynamic residual load of clean and transport vehicle, generate the dynamic clean and transport route map of multi-vehicle cooperation through deep reinforcement learning model.

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