Since the key variables in the thickening-filter process of a concentrator can not be measured online, there are problems in the production process such as improper operation, substandard production index and high energy economic index (EEI). Based on the production data of the thickening-filter process, a data-driven coordination optimization control method for the thickening-filter process is proposed. Firstly, the partial least squares(PLS) method is used to establish the data driven model of thickening-filter process. Then, under the constraints of stepped electricity price, operation safety of thickeners and production indexes, a coordinated optimization model aiming at the minimum EEI in the thickening-filter process is established to plan the time series of ore drawing and filter-press. An off-line experiment and field application show that the optimization model can improve the production index of the underflow concentration, reduce the EEI in the process of thickening-filter, the loss of press cloth and the number of abnormal production.