The invention relates to the technical field of supervision control and
data acquisition, and discloses a scented tea
processing temperature and
humidity intelligent monitoring method based on
the Internet of Things. According to the method, indoor and outdoor environment parameters and personnel activity data of a cavity are collected in real time through a multi-mode sensing network, a disturbance
event recognition model is used for early warning a door opening approaching event in advance, the temperature and
humidity variation is predicted based on a
physical model, and a feedforward compensation control instruction is generated; pID
feedback control is combined to form a dual-mode cooperative
control signal, and an execution mechanism is driven to adjust in advance to offset environmental disturbance
impact. The
system comprises a multi-mode sensing module, a disturbance prediction module, a
trend prediction module, a dual-
mode control module and an execution driving module. According to the invention, the change from post correction to pre-control in advance is realized, and the stability of temperature and
humidity control and the product consistency in the scented tea treatment process are obviously improved.