Crosslinked cable production line control method

The invention belongs to the technical field of cross-linked cable production automatic control, and particularly relates to a cross-linked cable production line control method. Firstly, a system performs self-inspection and obtains a plurality of parameter indexes and parameter index ranges of temperature control of an extruder and a catenary pipeline of a target cross-linked cable production line, then a PID controller is improved, a filter is added in a differential link, introduced high-frequency interference is filtered out, optimal PID parameters are obtained through BP neural network optimization, and the BP neural network is used for controlling the temperature of the extruder and the catenary pipeline of the target cross-linked cable production line and the temperature control range of the catenary pipeline of the target cross-linked cable production line. The method comprises the following steps of: adding lag time as an input layer except target temperature, actual temperature, temperature error an