A microplastic aging process traceability and factor intelligent identification system and method

Through the traceability and factor intelligent identification system of microplastic aging process, combined with multimodal analysis and deep learning models, the problems of traceability and traceability of microplastic aging process in the existing technology are solved, and high-precision identification and traceability analysis of microplastic aging behavior is realized, providing a scientific basis for the control of microplastic pollution.

CN119763109APending Publication Date: 2025-04-04郑丽娜
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Patent Information

Application Number
CN202411793604.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-09
Publication Date
2025-04-04

AI Technical Summary

Technical Problem

The prior art is difficult to effectively track the changes of microplastics under the action of different aging factors, and it is difficult to accurately quantify the specific action mode and proportion of aging factors, which limits the application of traceability of microplastic pollution.

Method used

It provides a microplastic aging process traceability and factor intelligent identification system, including sample pretreatment unit, microplastic separation unit and microplastic identification and aging detection unit. Through multimodal fusion analysis method and deep learning model, combined with data from high-resolution scanning electron microscope and Fourier transform infrared spectrometer, it realizes in-depth tracking of microplastic aging behavior and the degree of effect identification of different aging factors.

Benefits of technology

High-precision identification and traceability analysis of the aging process of microplastics is realized, and the aging source and possible environmental paths of microplastics can be quickly and accurately inferred, significantly enhancing the identification and monitoring capabilities of the dynamic distribution of microplastics in the environment, and providing a scientific basis for traceability analysis and control of microplastic pollution.

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Abstract

A system and method for tracing the source of microplastic aging process and intelligently identifying factors, the system: the sample conveying and primary screening device includes a sample receiving tank, a vibrating screen and a conveyor belt; the particle dispersion and electrostatic dust removal device includes a dispersing stirrer, a drying pipeline, a dry air ejector and an electrostatic eliminator; the microplastic enrichment device includes a cyclone separator and a collection tank; the microplastic separation unit includes an electrostatic separation channel, a high-voltage electrostatic charging device and a microplastic collection device; the microplastic identification and aging detection unit includes a high-resolution scanning electron microscope, a Fourier transform infrared spectrometer and an aging characteristic multimodal analysis module. Methods: rough sample selection; drying, dust removal and anti-static treatment; secondary selection; multi-level sorting; obtaining the surface morphology image and infrared spectrum of the sample; constructing a prediction model for tracing the source of microplastic aging process and identifying factors; and real-time analysis and prediction of microplastics. The system and method can realize the identification and analysis of microplastics.
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