Low-cost ESP32-based sound data acquisition system with MATLAB integration for real-time noise monitoring.
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| Title: | Low-cost ESP32-based sound data acquisition system with MATLAB integration for real-time noise monitoring. |
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| Authors: | Macapanas, Reymark-John A.1 reymarkjohn.macapanas@ustp.edu.ph, Galido, Adrian P.2 adrian.galido@g.msuiit.edu.ph, Alce, Apple Rose B.3 applerose.alce@g.msuiit.edu.ph |
| Source: | Telkomnika. Apr2026, Vol. 24 Issue 2, p599-607. 9p. |
| Subjects: | Noise measurement, Microcontrollers, Microphones, Data disk drives, Data recorders & recording, Environmental monitoring, Electronic equipment design |
| Abstract: | This study presents the design and implementation of a low-cost ESP32-based sound data acquisition system (SDAS) for real-time noise monitoring. The system integrates a micro-electro-mechanical systems (MEMS) microphone for accurate acoustic data capture, an ESP-WROOM-32 microcontroller for signal processing and wireless data transmission, and MATLAB for real-time visualization and analysis. Designed and simulated in KiCAD 8.0, the SDAS includes a microSD module for local data backup and offline analysis. The system was tested in four indoor locations within Mindanao State University - Iligan Institute of Technology, recording mean noise levels ranging from 14.2 dB in laboratory environments to 32.1 dB in classrooms, with corresponding standard deviations of 1.2-7.0 dB. Expert evaluation from eight assessors confirmed the system's usability, data reliability, and robustness. The system demonstrates effective monitoring for both quiet and dynamic settings. Limitations include single-node configuration, indoor-only testing, and MATLAB-based USB data transfer. Despite these, the proposed SDAS provides a scalable and reproducible model for smart campus and urban environmental monitoring, supporting sustainable development goals (SDG) 3, 9, and 11. [ABSTRACT FROM AUTHOR] |
| Copyright of Telkomnika is the property of Department of Electrical Engineering, Ahmad Dahlan University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 194026213 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Low-cost ESP32-based sound data acquisition system with MATLAB integration for real-time noise monitoring. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Macapanas%2C+Reymark-John+A%2E%22">Macapanas, Reymark-John A.</searchLink><relatesTo>1</relatesTo><i> reymarkjohn.macapanas@ustp.edu.ph</i><br /><searchLink fieldCode="AR" term="%22Galido%2C+Adrian+P%2E%22">Galido, Adrian P.</searchLink><relatesTo>2</relatesTo><i> adrian.galido@g.msuiit.edu.ph</i><br /><searchLink fieldCode="AR" term="%22Alce%2C+Apple+Rose+B%2E%22">Alce, Apple Rose B.</searchLink><relatesTo>3</relatesTo><i> applerose.alce@g.msuiit.edu.ph</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Telkomnika%22">Telkomnika</searchLink>. Apr2026, Vol. 24 Issue 2, p599-607. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Noise+measurement%22">Noise measurement</searchLink><br /><searchLink fieldCode="DE" term="%22Microcontrollers%22">Microcontrollers</searchLink><br /><searchLink fieldCode="DE" term="%22Microphones%22">Microphones</searchLink><br /><searchLink fieldCode="DE" term="%22Data+disk+drives%22">Data disk drives</searchLink><br /><searchLink fieldCode="DE" term="%22Data+recorders+%26+recording%22">Data recorders & recording</searchLink><br /><searchLink fieldCode="DE" term="%22Environmental+monitoring%22">Environmental monitoring</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+equipment+design%22">Electronic equipment design</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This study presents the design and implementation of a low-cost ESP32-based sound data acquisition system (SDAS) for real-time noise monitoring. The system integrates a micro-electro-mechanical systems (MEMS) microphone for accurate acoustic data capture, an ESP-WROOM-32 microcontroller for signal processing and wireless data transmission, and MATLAB for real-time visualization and analysis. Designed and simulated in KiCAD 8.0, the SDAS includes a microSD module for local data backup and offline analysis. The system was tested in four indoor locations within Mindanao State University - Iligan Institute of Technology, recording mean noise levels ranging from 14.2 dB in laboratory environments to 32.1 dB in classrooms, with corresponding standard deviations of 1.2-7.0 dB. Expert evaluation from eight assessors confirmed the system's usability, data reliability, and robustness. The system demonstrates effective monitoring for both quiet and dynamic settings. Limitations include single-node configuration, indoor-only testing, and MATLAB-based USB data transfer. Despite these, the proposed SDAS provides a scalable and reproducible model for smart campus and urban environmental monitoring, supporting sustainable development goals (SDG) 3, 9, and 11. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Telkomnika is the property of Department of Electrical Engineering, Ahmad Dahlan University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=194026213 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.12928/TELKOMNIKA.v24i2.27557 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 599 Subjects: – SubjectFull: Noise measurement Type: general – SubjectFull: Microcontrollers Type: general – SubjectFull: Microphones Type: general – SubjectFull: Data disk drives Type: general – SubjectFull: Data recorders & recording Type: general – SubjectFull: Environmental monitoring Type: general – SubjectFull: Electronic equipment design Type: general Titles: – TitleFull: Low-cost ESP32-based sound data acquisition system with MATLAB integration for real-time noise monitoring. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Macapanas, Reymark-John A. – PersonEntity: Name: NameFull: Galido, Adrian P. – PersonEntity: Name: NameFull: Alce, Apple Rose B. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 16936930 Numbering: – Type: volume Value: 24 – Type: issue Value: 2 Titles: – TitleFull: Telkomnika Type: main |
| ResultId | 1 |
