This invention discloses an automatic task allocation
system and method based on
workload and capacity balance monitoring. The
system includes: a
dynamic capacity modeling module for constructing
ground station capacity models and measurement, control, and operations (TT&C) task models; a real-time
workload assessment module for dynamically assessing
ground station workload; an adaptive allocation decision module for adaptively balancing and allocating optimal
ground station resources; and a task execution monitoring module for employing conflict resolution strategies to eliminate abnormal ground
station states. By introducing real-time workload assessment and capacity margin calculation mechanisms, this invention effectively solves the problem of uneven
resource utilization caused by traditional static allocation
modes. The adaptive allocation decision module can dynamically adjust task allocation strategies and automatically trigger task migration mechanisms, effectively avoiding resource waste caused by some stations being overloaded while others are idle, achieving
dynamic load balancing, and significantly improving
system resource utilization.