This invention discloses a
drone swarm
monitoring system and method, relating to the field of
drone swarm collaborative operation technology. The method includes: continuously sensing the state of several preset task areas, acquiring the state values of each area and constructing a time-series sequence; calculating the state change rate and acceleration of each area based on the sequence; calculating a dynamic task priority value by combining the historical task execution frequency of each area; generating a
drone swarm task allocation scheme based on the priority values of all areas, combined with the location, urgency, and resource requirement constraints of the task areas, using a preset optimization model to achieve load balancing; planning flight paths for each drone, driving the swarm to execute tasks, and supporting dynamic reallocation based on real-time feedback.