Slag tailings metal recovery system and its recovery process based on big data

Abstract

The invention provides a big data-based recovery system for slag tailings metal and a recovery process method thereof, and relates to the technical field of copper smelting. The big data-based metal recovery system for slag tailings and its recovery process method includes a shell, a magnetic separation mechanism, a gas supply device, a telescopic drive device, a screening mechanism, a collection box, and a magnetic separation mechanism in the middle of the shell. The magnetite in the chamber is screened, the left and right sides of the magnetic separation mechanism are fixedly connected with the casing, the right side of the casing is provided with an air supply device, the left side of the gas supply device passes through the right side of the casing and is fixedly connected with the casing, and the left side of the casing is equipped with a telescopic The driving device, the driving end of the telescopic driving device is fixedly connected to the left side of the magnetic separation mechanism, the bottom of the shell is movably connected to a screening mechanism, and the bottom of the sieving mechanism is movably connected to a collection box, which solves the problem of tailing slag particles and The size of magnetite and fayalite is not convenient for effectively subdividing magnetite and fayalite.

Description

technical field [0001] The invention relates to the technical field of copper smelting, in particular to a big data-based slag tailings metal recovery system and a recovery process method thereof. Background technique [0002] The slag produced after smelting copper metal in the smelter, after the slag is crushed, ore-grinded, dosing, flotation and other mineral processing operations to recover high-grade copper concentrate, the remaining part containing low-grade copper ore is slag tailings. [0003] At present, slag tailings are mainly sold as cement additions. According to laboratory analysis, slag tailings also contain some valuable metals such as iron, lead, zinc, chromium, etc. Due to the large fluctuations in the grade of valuable metals in slag tailings, the recovery technology is difficult. Large, high recycling cost, no effective recycling at the current technical level, resulting in a waste of resources, based on the effectiveness and timeliness of big data, it is...

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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