2results about How to "Realize multi-objective optimization" patented technology

The invention relates to the technical field of ocean platform pipeline design, in particular to an ocean platform pipeline laying method based on reinforcement learning, and the method comprises the following steps: S1, dispersing a pipeline laying region into a three-dimensional grid matrix according to the physical size of an actual cabin of an ocean platform, and marking a pipeline starting point, a pipeline ending point and an impassable region; s2, performing Q-Learning algorithm parameter initialization configuration, defining an action space adaptive to the linear movement characteristics of the ocean platform pipeline, constructing a Q value matrix adaptive to three-dimensional space coordinates and actions, and performing initialization; s3, entering a training round, and continuously updating the value evaluation matrix by dynamically adjusting a greedy criterion, a multi-dimensional reward mechanism and a time sequence difference learning rule; and S4, after the training is completed, starting from the starting point based on the converged Q value matrix, selecting an optimal action through a greedy to generate a final pipeline path, and improving the quality and search efficiency of pipeline laying on the ocean platform.

This invention discloses a dynamic spectrum allocation and multi-path collaborative transmission communication method and system for unmanned platforms. The method involves: first, real-time scanning of the operating frequency band, synchronously collecting signal strength and interference types of the target frequency band, generating a spectrum occupancy heatmap, and classifying interference signals; then, generating an availability probability map of each sub-channel within a future time window to predict the spatiotemporal distribution of interference sources; next, constructing a deep reinforcement learning (DRL) model to achieve dynamic allocation of transmission resources; finally, when the detected interference intensity exceeds a preset threshold, activating a multi-band, multi-path concurrent transmission and network coding mechanism, with the main path using a low-frequency band to ensure coverage, and the backup path using a high-frequency band to ensure rate. The receiving end processes the received data using a confidence-weighted fusion algorithm. The system includes a spectrum sensing module, a decision engine, and a multi-path transmission module. This invention improves communication efficiency and anti-interference performance, is highly adaptable, flexible in deployment, and has good scalability.