Spectral data processing system and method based on in-situ data perception and intelligent analysis

By employing in-situ testing, data sensing, intelligent feature extraction, and multi-peak Gaussian fitting, the problems of opaque spectral data processing and limited algorithm accuracy have been solved. This enables real-time acquisition, automatic synchronization, and structured management of spectral data, thereby improving the accuracy and efficiency of analysis.

CN122238207APending Publication Date: 2026-06-19FUDAN UNIVERSITY
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Patent Information

Application Number
CN202610180388.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-02-09
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

Existing technologies for spectral data processing are opaque, lack clear algorithm details, lack data closure, have limited algorithm accuracy, are difficult to handle data quality issues, are inconvenient to export data, and cannot achieve automation and standardization.

Method used

The system employs an in-situ testing module to acquire spectral data in real time, an in-situ data sensing and quality processing module to automatically detect and clean invalid values, an intelligent feature extraction module to extract precise peak positions and half-peak widths, a multi-peak Gaussian fitting analysis module to perform Gaussian fitting, and a data synchronization and closed-loop control module to achieve automatic synchronization and support the export of structured data.

Benefits of technology

It enables real-time acquisition, efficient processing, accurate analysis, and automatic synchronization of spectral data, ensuring data quality, reducing human intervention, improving analytical accuracy and work efficiency, and supporting structured data management.

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Abstract

The invention belongs to the technical field of spectral data processing, and particularly relates to a spectral data processing system and method based on in-situ data perception and intelligent analysis. According to the invention, in-situ optical imaging, absorption spectrum, fluorescence spectrum, PL mapping and the like are adopted to obtain time, wavelength and intensity three-dimensional spectrum data in real time, and material crystallization, defects and luminescence characteristics are monitored in real time; processing a data quality problem by adopting an invalid value automatic detection and cleaning algorithm; extracting peak position and half-peak width characteristic parameters from the spectral data by adopting a peak position extraction and half-peak width calculation method; carrying out multi-peak Gaussian fitting on the spectral data by adopting a nonlinear optimization algorithm; real-time synchronization of data presentation and fitting analysis is realized by adopting a signal-slot mechanism, and a complete closed loop of in-situ testing, data sensing, processing, analysis, synchronization and exporting is formed. Real-time acquisition, efficient processing, accurate analysis and automatic synchronization of the spectral data are realized, and technical support is provided for standardized processing and traceable analysis of the spectral data.
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