Slag tailing metal recovery system based on big data and recovery process method thereof

Abstract

The invention provides a slag tailing metal recovery system based on big data and a recovery process method thereof, and relates to the technical field of copper smelting. The slag tailing metal recovery system based on the big data and the recovery process method thereof comprises a shell, a magnetic separation mechanism, a gas supply device, a telescopic driving device, a screening mechanism and a collecting box, the magnetic separation mechanism is arranged in the middle of the interior of the shell and used for screening magnetite in slag, the left side and the right side of the magnetic separation mechanism are fixedly connected with the shell, and the gas supply device is arranged on the right side of the shell. The left side of the air supply device penetrates through the right side of the shell and is fixedly connected with the shell, the telescopic driving device is arranged on the left side of the shell, and the driving end of the telescopic driving device is fixedly connected with the left side of the magnetic separation mechanism, the screening mechanism is movably connected on the bottom end of the shell, the collecting box is movably connected on the bottom end of the screening mechanism. The problem that the magnetite and fayalite are inconveniently and effectively subdivided due to different sizes of tailings particles, the magnetite and the fayalite in copper smelting tailings is solved.

Description

Technical field [0001] Technical Field The present invention relates to copper, particularly of slag tailings process for metal recovery system and based on large data recovery. Background technique [0002] Smelting slag generated after the copper smelter, crushed slag, high grade copper concentrate after grinding, dosing, mineral flotation recovery operations, comprising the remaining portion of low grade copper slag tailings. [0003] At present primarily as tailings slag cement addition out-sale, by laboratory analysis, the slag tailings also contain part of the iron, lead, zinc, chromium and other valuable metals, since the slag tailings grade large fluctuations valuable metal recovery technical difficulty , high recovery costs, efficient recovery is not performed at the level of the prior art, resulting in a waste of resources, based on the large data valid, timeliness, slag tailings may be valuable metals according to high and low grade, the difficulty sorting of separatel...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the deficiencies of the prior art, the present invention provides a slag tailings metal recovery system based on big data, which solves the inconvenient impact on magnetite and fayalite due to the different sizes of tailings particles and magnetite and fayalite in copper smelting tailings. The problem of efficient subdivision of fayalite

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