Abstract:The copper grade and copper loss rate in the production of copper-sulfur tailings in Anhui Province are high, and it is necessary to diagnose the copper-sulfur ore beneficiation process and find out the main reasons for copper loss in the tailings.The Automatic Mineral Characteristic Parameter Analysis System (MCPAS) can automatically measure the dissociation and particle size of the target minerals in the beneficiation process, and these process parameters are important data support for the diagnosis of the beneficiation process.MCPAS was used to measure the dissociation and particle size of chalcopyrite in the products of the important nodes (overflow, total copper concentrate and copper tailings). The results show that MCPAS is suitable for the diagnosis of copper and sulfur ore dressing process, which can provide data support and technical guidance for the optimization of the dressing process; the dressing process is reasonable, with room for further optimization, and it is recommended to appropriately increase the fineness of one section of the grinding in order to improve the chalcopyrite's monomer dissociation degree; moreover, it should be paid attention to the strengthening of the recovery of the chalcopyrite monomers and the bare consecutive chalcopyrite in the process of flotation, and the strengthening of the suppression of the vein minerals, to further improve the recovery of chalcopyrite monomer and chalcopyrite. inhibition of chalcopyrite minerals to further improve the recovery of copper.