A method and system for optimizing the layout of shore-based sensors considering coverage probability

Abstract

The present disclosure provides a shore-based sensor layout optimization method and system considering coverage probability, relating to the technical field of intelligent port perception, comprising: acquiring geographic environment data and meteorological condition data of a port monitoring area, determining target coverage area positions of sensor deployment and sensor types; constructing a coverage probability calculation model fusing geometric occlusion and meteorological attenuation; constructing a multi-objective layout optimization function; solving the multi-objective layout optimization objective function by using an improved non-dominated genetic algorithm, obtaining a Pareto optimal sensor deployment scheme set, selecting the scheme with the highest comprehensive score according to a user's preset preference weight as the final target layout scheme, and mapping it to the port physical space to output a structured deployment list containing sensor coordinates, types and orientations. The present disclosure realizes a global optimal balance between coverage rate, robustness and economy of the shore-based perception network, and significantly improves the safe operation level of the automated wharf.

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