The invention provides a self-driven micro-
robot for a
liver tumor targeted therapy and real-time
monitoring system, and relates to the technical field of
biomedical engineering. The monitoring main
system comprises a self-driven navigation and positioning module, an intelligent
drug delivery module, a tumor monitoring and state evaluation module, a multi-
modal data fusion module, a real-time self-learning decision module, an advanced
molecular simulation and
drug optimization module, a safety communication module, a
power grid environment
adaptation module and a fault detection and
recovery module; the self-driven navigation and positioning module adopts a mode of combining a
quantum genetic algorithm, a fuzzy constraint optimization
algorithm and a self-adaptive
simulated annealing algorithm, so that the navigation accuracy and positioning efficiency of the
robot in a complex environment in the liver are remarkably improved, and the
quantum genetic algorithm has the advantages that by means of the strong parallelism of
quantum calculation, the positioning accuracy of the
robot is improved; according to the method, numerous potential path combinations can be quickly explored, the path planning time is greatly shortened, and meanwhile, the path planning accuracy is improved.