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人工智能在计量学中的应用进展与展望

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人工智能(AI)技术在计量学领域的应用日益广泛,为传统计量方法注入新的活力.在本文中,从微观、中观和宏观三个层面,综述了 AI在计量学中的应用和发展趋势.在微观层面,重点分析了 AI技术在光学测量、力学测量、量子计量和自动化校准等领域的创新应用;在中观层面,探讨了智能传感网络、边缘AI和区块链技术的融合发展;在宏观层面,总结了 AI在环境监测、工业制造等领域的实践应用.基于文献分析发现,近十年来AI计量学研究呈快速增长态势,2018年后研究热度显著提升.围绕标准化、不确定性量化、模型可解释性等关键问题,探讨了当前面临的挑战并展望了未来研究方向.
Progress and Prospect of Artificial Intelligence Application in Metrology
Artificial Intelligence(AI)technologies are increasingly applied in metrology,bringing new vitality to traditional measurement methods.The applications and development trends of AI in metrology is systematically reviewed from micro,meso and macro levels.At the micro level,the innovative applications of AI in optical measurement,mechanical measurement,quantum metrology,and automated calibration,is analyzed.At the meso level,the integration of intelligent sensor networks,edge AI,and blockchain technologies are discussed.At the macro level,the practical applications of AI in environmental monitoring and industrial manufacturing is summarized.Based on literature analysis,it is found that AI metrology research has shown rapid growth over the past decade,with a significant increase in research intensity after 2018.Focusing on key issues such as standardization,uncertainty quantification,and model interpretability,current challenges and prospects for future research directions are explored.

Artificial intelligenceIntelligent sensor networksQuantum metrologyUncertainty quantificationStandardizationInterdisciplinary integration

宫轲楠、胡泊、徐玄、黄怡璠、成芳

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中国计量科学研究院,北京 100029

人工智能 智能传感网络 量子计量 不确定性量化 标准化 跨学科融合

2024

宇航计测技术
中国航天科技集团一院102所 二院203所

宇航计测技术

CSTPCD
影响因子:0.189
ISSN:1000-7202
年,卷(期):2024.44(6)