Fusion perception online sorting system and sorting method for metals recycled from scrapped automobiles

Abstract

The invention relates to a fusion perception online sorting system and sorting method for metals recycled from scrapped automobiles. The fusion perception online sorting system comprises a database-building learning device, a sorting discriminating device and a model evaluation device, wherein the database-building learning device performs pre-processing such as noise reducing on data by acquiringfusion data (containing X-rays and optical data) of material blocks; different characteristic values are obtained by calculating according to different reaction capacities, on fusion perception, of metals such as aluminum and magnesium, and the characteristics values are input into the database-building learning device to complete training learning of the data; an optimized sorting discriminatingmodel is obtained by training learning of the database-building learning device, and sorting of raw materials is completed through the sorting discriminating model in the sorting discriminating device; and the model evaluation device is used for separately evaluating, regulating and optimizing the sorting model according to the sorting results of the sorting discriminating device. The fusion perception online sorting system has a relatively high recognition rate, and can accurately recognize alloys and other metal materials; and when material conveying speed is 3 m / s, an accurate rate of sorting can be 0.25%, and sorting amount reaches 300 t / h.

Description

technical field [0001] The invention relates to a fusion sensing online sorting system and a sorting method for recycling metals from scrapped cars, in particular to the online metal sorting of aluminum-magnesium alloys. Background technique [0002] Automobile materials include: metals and their alloys, non-metallic materials, etc. Among them, metals include iron and steel materials and non-ferrous metals; alloys include: aluminum alloys, magnesium alloys, copper alloys and other alloy materials. Non-metallic materials include plastic, rubber, glass, etc. Automobile renewable resources refer to recyclable materials obtained after recycling waste automobiles. Compared with the short-process steel production using automobile scrap as raw material and iron ore as raw material, recycling 1 ton of scrap steel can save 4 tons of iron ore, reduce energy consumption by 0.89 tons of standard coal, and save transportation capacity by 6 tons and industrial production capacity. Usin...

AI Technical Summary

Problems solved by technology

[0003] The components of the raw materials obtained after the treatment of scrapped cars are very complex. The traditional manual sorting method has a large workload and low production efficiency; the chemical sorting method is unstable in the sorting process and pollutes the environment; the mechanical sorting method has low sorting accuracy and energy consumption

Nowadays, with the rapid development of high-tech, sensing technology has become the development trend of metal sorting. However, due to the complexity of scrap metal scraps, the sorting system only uses independent sensing technology (optical, X-ray) and there are great limitations. : The sorting output is limited, the material particle size is limited, and the accuracy rate is not high

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