The invention discloses a cable cabling control method based on process
big data, and belongs to the technical field of cable cabling control. Comprising the following steps that S1, parameters are collected in real time and preprocessed, historical batch records are called, the tension
instability and the arrangement offset trend rate are calculated,
simulation coupling factors are constructed, and an optimized coefficient combination is obtained; s2, the current tension
instability and the arrangement offset change rate are calculated respectively, and the adjusted take-up speed and the adjusted twisting torque are obtained; according to the method, historical batch records of cables of the same specification are called, the tension
instability and the arrangement offset trend rate are calculated, a numerical optimization
algorithm is adopted to iteratively search an amplification coefficient and a
sensitivity coefficient, a process-oriented optimization objective function is minimized, an optimized coefficient combination is obtained, and the stability of the
cable tension is improved. Therefore, self-adaptive parameter optimization based on historical data is realized, the high adaptability of a control strategy to different batches of process fluctuations is improved, and the variability of quality indexes is remarkably reduced.