Designing modular spectral data processing software based on design patterns

A modular spectral data processing software architecture based on design patterns were proposed, aiming to address the challenges of device diversity, data heterogeneity and algorithmic complexity. The command pattern realizes the compatibility of multi-vendor devices, the observer pattern constructs the state monitoring system, and the strategy pattern supports the dynamic combination of algorithms. The system adopts a dual-track communication mechanism, integrates event-driven and shared memory technologies, takes into account the flexibility and performance of big data processing, and constructs a highly cohesive and low-coupling distributed architecture.

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Published
2025-05-09
DOI
https://doi.org/10.1109/cisce65916.2025.11065587
Primary Topic
Advanced Computational Techniques and Applications
Type
article
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article

Designing modular spectral data processing software based on design patterns

Hui Cao, Fan Lü
Advanced Computational Techniques and Applications
article

Designing modular spectral data processing software based on design patterns

Hui Cao, Fan Lü
article en

Abstract

A modular spectral data processing software architecture based on design patterns were proposed, aiming to address the challenges of device diversity, data heterogeneity and algorithmic complexity. The command pattern realizes the compatibility of multi-vendor devices, the observer pattern constructs the state monitoring system, and the strategy pattern supports the dynamic combination of algorithms. The system adopts a dual-track communication mechanism, integrates event-driven and shared memory technologies, takes into account the flexibility and performance of big data processing, and constructs a highly cohesive and low-coupling distributed architecture.

Anhui University (CN), Chinese Academy of Sciences (CN), Hefei Institutes of Physical Science (CN)
Openalex Percentile: Top 92%
Advanced Computational Techniques and Applications
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