The invention provides an intelligent metasurface optimal position deployment method and
system in an
electric power scene, and the method is characterized in that the method comprises the following steps: constructing a single-input single-output
system model for the inspection of a multi-intelligent metasurface (RIS)-assisted unmanned aerial vehicle, the
system comprises a
base station, an unmanned aerial vehicle and a plurality of RISs, the RIS is deployed in a candidate site set # imgabs0 # between a
base station and an inspection area, the height # imgabs1 #
azimuth angle theta i and the number Ti of
daughter boards of each RIS are adjustable, and the inspection area is divided into N grids; establishing a channel model, and calculating average power gains of direct connection and
cascade channels; an
optimization problem with the goal of minimizing the total deployment cost is constructed, the total deployment cost comprises RIS site fixed cost and
daughter board hardware cost, and the constraint condition is that the system coverage rate is not lower than a preset threshold value eta min; and converting the
optimization problem into an integer
linear programming problem, introducing a binary variable to represent RIS deployment configuration, and solving through a
branch definition
algorithm to obtain the optimal RIS position, height,
azimuth angle and
daughter board number.