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OpenSEM: an Open Framework for Data-Driven Structural and Environmental Monitoring

Published: 03 April 2024 Publication History

Abstract

We propose the OpenSEM hardware/software framework as an holistic tool to build structural and environmental monitoring platforms for public decision makers. After the definition of a minimal set of system requirements, we show in this poster the main contributions in terms of hardware design, data synchronization and storage.

References

[1]
Camilo Basto, Luca Pelà, and Rolando Chacón. [n. d.]. Open-Source Digital Technologies for Low-Cost Monitoring of Historical Constructions.
[2]
Chia-Chi Li, Vikram K. Ramanna, Daniel Webber, Cole Hunter, Tyler Hack, and Behnam Dezfouli. 2020. Sensifi: A Wireless Sensing System for Ultra-High-Rate Applications. (12 2020). htp://arxiv.org/abs/2012.14635
[3]
Alessandro Sabato, Christopher Niezrecki, and Giancarlo Fortino. 2017. Wireless MEMS-Based Accelerometer Sensor Boards for Structural Vibration Monitoring: A Review. IEEE Sensors Journal 17 (1 2017), 226--235. Issue 2.

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        cover image ACM Conferences
        BDCAT '23: Proceedings of the IEEE/ACM 10th International Conference on Big Data Computing, Applications and Technologies
        December 2023
        187 pages
        ISBN:9798400704734
        DOI:10.1145/3632366
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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        Published: 03 April 2024

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        Author Tags

        1. wireless data acquisition systems
        2. structural health monitoring
        3. environmental monitoring
        4. big data

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