Lead zinc ore separation method and electronic equipment

By using dual-energy X-ray projection imaging and a deep learning target detection model, the problem of accurate identification of lead-zinc ore and waste rock was solved, achieving efficient ore sorting and improving resource utilization.

CN121120649AActive Publication Date: 2025-12-12CENT SOUTH UNIV
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Patent Information

Application Number
CN202511666022.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-11-14
Publication Date
2025-12-12
Estimated Expiration
2045-11-14

AI Technical Summary

Technical Problem

Traditional methods are insufficient for the accurate and rapid identification of lead-zinc ore and waste rock, leading to waste of mineral resources and a decline in corporate economic benefits.

Method used

A dual-energy X-ray projection imaging method combined with an enhanced correlation coefficient registration algorithm and a deep learning target detection model was used to identify lead-zinc ore through physical response difference measurement and pseudo-color image generation.

Benefits of technology

It enables precise and efficient identification of lead-zinc ore, improves the accuracy and efficiency of ore sorting, and reduces resource waste.

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Abstract

According to the lead-zinc ore sorting method and the electronic equipment, in the preprocessing stage, an obtained raw ore high-energy diagram is registered with a low-energy diagram as the benchmark, physical response difference measurement is adopted, the low-energy diagram and the registered high-energy diagram are fused to obtain a fusion diagram, the fusion diagram is colored according to a color transition rule, a pseudo-color diagram is obtained, and a lead-zinc ore sorting result is obtained. And the pseudo-color image is used as input, and a target detection model based on deep learning is used for processing, so that accurate and efficient recognition of the lead-zinc ore in the raw ore is realized.
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