Solid waste classification method based on spectrograph
Through the solid waste classification method based on spectrometer, unknown solid waste classification problems in the prior art are solved, fast and accurate classification is achieved, and cost and professional requirements are reduced.
CN119702490AActive Publication Date: 2025-03-28GUANGDONG PROVINCIAL ACADEMY OF ENVIRONMENTAL SCI
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Patent Information
- Application Number
- CN202411914118.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-24
- Publication Date
- 2025-03-28
- Estimated Expiration
- 2044-12-24
AI Technical Summary
Technical Problem
The prior art is difficult to quickly qualitative or classified when dealing with unknown solid waste, resulting in high cost of sample collection, long time and possibly misjudgment of hazardous waste in environmental events.
Method used
Using a spectrometer-based solid waste classification method, through preliminary classification, selection of appropriate spectrometers, spectrogram pretreatment and similarity analysis, we quickly determine whether multiple substances belong to the same type of solid waste.
Benefits of technology
This method can be classified at low cost and high efficiency, reduces the professionalism requirements for technicians, is suitable for on-site identification and analysis, and improves the scientificity and accuracy of classification.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention discloses a solid waste classification method based on a spectrometer, and relates to the technical field of solid waste analysis, and the method comprises the following steps: S1, preliminary classification: obtaining a sample of unknown solid waste, and observing the characteristics of the sample to obtain characteristic information; s2, selecting a spectrograph: selecting the spectrograph according to the feature information; analyzing the sample by using a spectrograph to obtain a spectrogram; the spectrogram comprises a spectrum curve; s3, spectrogram preprocessing: carrying out normalization processing on the data of the spectrum curve; s4, similarity analysis: for the spectrum curves of the multiple samples, randomly selecting two samples for comparison to obtain a similarity value; if the similarity value is within a preset threshold range, the two samples to be compared belong to the same kind of solid waste. The method is low in operation cost and low in professional degree requirement on workers, and can realize rapid and efficient analysis and classification of solids.
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