A method and system for designing a matrix optical cell based on a genetic algorithm

By using a matrix-type optical absorption cell design method based on genetic algorithms, the problems of low mirror utilization and low parameter screening efficiency are solved, and an efficient and stable optical absorption cell structure design is achieved, which is suitable for different sizes and optical path requirements.

CN122133518APending Publication Date: 2026-06-02SHANDONG UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANDONG UNIV
Filing Date
2026-04-30
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

Traditional matrix-type absorption cells have low mirror utilization, limited effective optical path extension, and their design relies on empirical parameters, making it difficult to quickly and efficiently select structural parameter combinations that meet the target requirements.

Method used

A matrix-type optical absorption cell design method based on genetic algorithm is adopted. By constructing a parameterized model and a partition-aware mutation mechanism, combined with a stagnation detection-driven adaptive mutation and population update mechanism, the mirror parameters are optimized to achieve global optimal parameter iterative optimization.

Benefits of technology

It improves mirror utilization and effective optical path, enhances parameter selection efficiency, outputs optimal structural parameters and light paths, adapts to different size and optical path requirements, and improves the stability and reliability of design results.

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Abstract

This invention relates to the field of optical sensing and measurement technology, specifically to a design method and system for a matrix-type optical absorption cell based on a genetic algorithm. The method is as follows: First, a parameterized model of the matrix-type optical absorption cell is constructed, and the two side mirrors are divided into partitions. A genetic algorithm gene encoding sequence is constructed using the local curvature center of each partition as the optimization variable. A recursive relationship is established based on the law of light reflection, and the light propagation path is calculated successively, while optical performance indicators are statistically analyzed. A multi-objective comprehensive evaluation fitness function integrating indicators such as reflection count and spot coverage is constructed. An improved genetic algorithm incorporating partition-aware mutation and adaptive population update mechanisms is used for global iterative optimization. Finally, the optimal parameter combination and the corresponding light path and spot distribution characteristics are output. This invention can achieve automated optimization design of the absorption cell structure, improve design efficiency, and simultaneously optimize the effective optical path and mirror utilization, enhancing global optimization stability.
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