The invention discloses an
Internet of Things sensing command and dispatch intelligent method and
system based on a multi-
modal large model, which deeply fuses multi-terminal field information, combines with a dynamically updated expert
knowledge base, realizes high-precision alarm level judgment and
processing suggestion generation, and realizes high-precision alarm level judgment and
processing suggestion generation through a multi-agent
collaboration method. According to the method, a complex command and dispatch task is decomposed into a series of
executable subtasks, the subtasks are executed in a division-of-labor cooperation mode according to a professional agent, the execution conditions of the subtasks are output, and in the execution process of the subtasks, through a quality detection
system including logic
verification, fact
verification, compliance examination and effect evaluation, the execution efficiency of the subtasks is improved. The method comprises the steps that task execution is completed, reliability, authenticity and legality of task execution are ensured, after task execution is completed, sub-task execution results are integrated, an execution log and a comprehensive report are generated, a task
execution plan is dynamically adjusted by means of real-time environment
perception and a
user feedback mechanism, and an optimization scheme is stored in a historical case
knowledge base; and continuous learning ability and experience accumulation are realized.