The invention relates to the technical field of
drug-loaded nano-
robot control, and discloses a targeted control method and
system for a
drug-loaded nano-
robot. The method comprises the following steps: building a task-resource matching model by receiving internal region division and treatment requirements of a
living body and combining the performance and real-time position of a nano-
robot; and according to the model, adopting a partition strategy to deploy the robot and optimize a
control signal, and realizing accurate area distribution. And then planning a task
time sequence of the treatment points, and analyzing intervals to formulate an
execution plan. The matching degree of
drug supply and robot endurance is evaluated, parameters are detected and adjusted to solve resource conflicts, and a steady
drug delivery progress scheme is formed. And finally, executing the scheme, and dynamically regulating and controlling the instruction based on the real-time environment and state data. According to the method, fine scheduling and resource
collaboration of the nano-robot cluster are realized, and the accuracy and efficiency of
targeted drug delivery and the reliability of the treatment process are improved.