The application provides a PLC programmable
cement pole intelligent automatic demolding control method, which comprises collecting mold stress, vibration frequency,
servo motor torque and pole surface temperature multi-
source data, mapping the vibration frequency and the mold stress into high-dimensional features by relying on a temperature-driven
thermal perception sparse coding dictionary, fusing the torque and the temperature to construct a real-
time data frame; reconstructing the memory
layout by predicting the state transition entropy, continuously storing the high-correlation data frame to form a main operation data area, establishing an independent emergency disposal data partition to store
safety control parameters; correcting the
state transition matrix in real time by means of the stress and the torque, performing predictive access on the pre-fetch
data cluster, and solving the
optimal control sequence; the PLC issues a demolding control instruction according to the optimal sequence, calculates a normalized torque margin to implement hierarchical control: when the margin is in the early warning interval, the emergency
data retrieval priority is improved and a
fine tuning instruction is output, and when the margin is out of limit, emergency braking is performed to ensure the safety of the demolding operation equipment and components.