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2 results about "Transportation fuel" patented technology

Open-pit truck dynamic path scheduling optimization method based on deep reinforcement learning

ActiveCN121836058BData setFeature set
This invention provides a dynamic route scheduling optimization method for open-pit mine trucks based on deep reinforcement learning, comprising the following steps: S1. Construction of static basic dataset and dynamic real-time dataset; S2. Construction of preprocessed data feature set and scheduling environment model; S3. Construction of a deep reinforcement learning model integrating improved Dijkstra's algorithm, improved deep Q-network, and deep deterministic policy gradient; S4. Offline training and iterative optimization of the deep reinforcement learning model; S5. Real-time data acquisition and preprocessing; S6. Real-time route decision and continuous action generation. This invention overcomes the limitations of single algorithms, achieving dynamic road condition adaptation, discrete-continuous decision collaboration, and intelligent response to abnormal scenarios. It effectively improves the transportation efficiency of open-pit mine trucks, reduces unit transportation fuel consumption and waiting time, adapts to the dynamic changes in mining area operation needs and equipment types, and provides integrated technical support for intelligent, low-cost, and highly reliable truck scheduling in open-pit mines.
Owner:TIBET XIANGLONG MINING CO LTD