The invention discloses an
intelligent equipment management method and
system for 5G
Internet of Things, and relates to the technical field of equipment management, and the method comprises the steps: collecting environment video data and environment audio
stream data in real time through 5
G network connection and installation of an RGB monitoring camera and a
microphone array, and carrying out the
noise reduction
processing through
Gaussian filtering and
spectral subtraction, and a
network time protocol is configured to realize accurate
perception of the environment. An RGB monitoring camera and a
microphone array are connected through a 5
G network, environment video data and environment audio
stream data are collected in real time,
noise reduction
processing is carried out, environment features are extracted through Canny
edge detection,
frequency spectrum feature extraction is carried out on the audio data, the extracted features are normalized through a local sliding window, and the
image quality is improved. And dynamically selecting a multi-
modal response by combining context factors, establishing a management behavior classification framework of the equipment, selecting management behaviors through a
decision tree, defining an environment
state space and the management behaviors, and optimizing execution of the management behaviors of the equipment through a reward
signal.