In-situ detection method and system for lead-zinc tailing aggregate based on LIBS technology

By constructing a detection complexity assessment model and dynamically adjusting the number of sampling points, the problem of balancing efficiency and accuracy in lead-zinc tailings aggregate detection using the LIBS detection method was solved. This achieved optimization of accuracy and efficiency in batch detection of lead-zinc tailings aggregate, meeting the rapid screening needs of highway engineering.

CN122259546APending Publication Date: 2026-06-23YUNNAN INFRASTRUCTURE INVESTMENT CO LTD +3
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
YUNNAN INFRASTRUCTURE INVESTMENT CO LTD
Filing Date
2026-05-25
Publication Date
2026-06-23

AI Technical Summary

Technical Problem

Existing LIBS testing methods are difficult to balance testing efficiency and accuracy in the mass on-site testing of lead-zinc tailings aggregates, and cannot meet the needs of mass, on-site, and rapid testing in highway engineering.

Method used

By constructing a detection complexity assessment model, based on the detection error index of lead-zinc tailings aggregate and current environmental parameters, the sample detection complexity index is calculated in real time, and the number of calibration sampling points is optimized. Combined with the consistency of historical detection results, dynamic adjustments are made to achieve synergistic optimization of sample detection accuracy and efficiency.

Benefits of technology

While ensuring detection accuracy, we aim to reduce invalid detection steps, improve detection efficiency, and lower detection costs to meet the needs of rapid screening at highway pavement engineering sites.

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Abstract

This invention provides a method and system for in-situ detection of lead-zinc tailings aggregates based on LIBS technology, relating to the field of mineral element detection. The method includes: optimizing and correcting the number of benchmark sampling points based on the detection complexity index of Q samples to obtain Q suitable sampling points; based on the sample sequence to be tested and the Q suitable sampling points, using LIBS technology to sequentially perform in-situ detection on the Q samples, outputting Q in-situ detection results. During the in-situ detection process, the number of suitable sampling points for subsequent samples is further optimized based on the consistency of historical detection results. This invention aims to solve the technical problem that existing detection methods typically use fixed rules, resulting in a difficulty in balancing detection efficiency and accuracy, and failing to meet the requirements of batch, on-site, and rapid detection in highway engineering. It can significantly improve the efficiency of in-situ detection of lead-zinc tailings aggregates while ensuring detection accuracy.
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