The invention relates to the technical field of
remote control, in particular to an intelligent device remote cooperative control method and
system based on
the Internet of Things, and the method comprises the following steps: monitoring and adjusting the CPU
utilization rate and memory usage of an intelligent device based on an
Internet of Things platform, optimizing the data collection and network
resource distribution, and improving the intelligent device remote cooperative control efficiency. By analyzing equipment performance and a network load balance index, equipment connection priority
ranking and task
load management are realized, and task execution and connection frequency is dynamically adjusted, so that real-time task requirements are met, and
system efficiency is improved. According to the method, the
performance index of the equipment is monitored in real time, the
data transmission interval is dynamically adjusted, the
data processing speed is remarkably increased, resource waste is reduced, efficient use of network resources is ensured through real-time
load analysis and optimization of network nodes, the problem of
data delay caused by
network congestion is avoided, and in the aspect of equipment
connection management, the
data transmission efficiency is improved. An intelligent priority decision mechanism allows the key device to quickly access the network in an emergency.