Application of AR Smart Glasses in Greenhouse Gas Services of Meteorological Departments

DOI

10.2991/978-94-6239-758-3_39How to use a DOI?

Keywords

AR Smart Glasses; Greenhouse Gases; Meteorological Observation; Intelligent Inspection; Pilot Experiment; Quantitative Effect

Abstract

To meet the needs of the “dual carbon” goal and the National Carbon Source and Sink Monitoring, Verification and Accounting System (CCMVS), meteorological greenhouse gas observation is moving toward intelligence. AR smart glasses, with advantages of real-scene overlay, hands-free operation and remote collaboration, solve key pain points of traditional manual operations. This paper focuses on the pilot experiment design, implementation process and quantitative effect of AR smart glasses in meteorological greenhouse gas services. A 10-month pilot (March-December 2025) was conducted at 4 regional atmospheric background stations in Hunan Province, with detailed experimental design, variable control and data comparison. An integrated application model of “AR plus AI working model” is proposed, and specific experimental data and practical effects are provided to offer a feasible technical reference for the intelligent upgrading of meteorological greenhouse gas observation networks. Experiment results find out the inspection time, fault handling time, and new employee onboarding cycle are reduced by more than 44%, the manual recording error rate and inspection omission rate are reduced by more than 89%, the quality control closed-loop rate is close to 100%, and the total experimental relative error is reduced from 7.8% to 1.2%.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Chen Chen
AU  - Haibo Huang
AU  - Qianbo Qing
PY  - 2026
DA  - 2026/09/08
TI  - Application of AR Smart Glasses in Greenhouse Gas Services of Meteorological Departments
BT  - Proceedings of the 2026 7th International Conference on Management Science and Engineering Management (ICMSEM 2026)
PB  - Atlantis Press
SP  - 404
EP  - 417
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-758-3_39
DO  - 10.2991/978-94-6239-758-3_39
ID  - Chen2026
ER  -