The invention provides a dense dehydration process intelligent coordinated optimization method. The method comprises the steps that description for a dense dehydration process optimization problem isbuilt, in particular, an underflow pump energy consumption economic indicator, a mine pump energy consumption economic indicator, a thickener pressure constraint, an optimization section constraint, aconstraint that filter pressing operation cannot be carried out, a constraint of pump opening time of each cabinet, calculation of underflow pump running time and calculation of mine pump running time are included; a specific mathematical formula is obtained through abstraction of the complex practical problem, a data processing thought is used for solving and forecasting the mathematical formula, and the dense dehydration process intelligent coordinated optimization method is achieved and has universality; and it is found through experimental results that the forecasting is accurate, and errors are small. Mine feeding of a thickener has fluctuation, noise exists during pressure detection, and inaccurate optimization results can be caused, so that a rolling optimization timing sequence method is adopted, the system state and the optimization section are updated along with time, the accuracy of the optimization results is improved, and the anti-interference capacity of a model is optimized.