This invention discloses a multi-level
control mode adaptive switching method and
system based on task constraints. For different task types, the
remote control center issues different task type identifiers and corresponding task constraint strategy information. During the task
initiation preparation phase and task execution, the
nest-side
edge computing controller continuously collects network, task, and UAV status data, dynamically determines the most suitable
target control mode, and performs control
handover, state synchronization, and instruction semantic level switching when the
target control mode is inconsistent with the current
control mode. This achieves coordinated and consistent adjustment of
control mode, control ownership, task state
machine, and instruction
semantics. This invention improves the continuity, security, and stability of UAV
system task execution under different
network conditions and task constraints.