Development and implementation of EcoDecibel: A low-cost and IoT-based device for noise measurement
Background: Noise pollution is a growing concern for public health and the environment. Traditional noise monitoring methods often have limitations due to short-term measurements and high costs. Objective: This study aims to develop and validate EcoDecibel, a low-cost, IoT-based sensor system for co...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-03-01
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| Series: | Ecological Informatics |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1574954124005107 |
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| author | Ling-Jyh Chen Sakshi Saraswat Fu-Shiang Ching Chih-Yi Su Hsin-Lan Huang Wen-Chi Pan |
| author_facet | Ling-Jyh Chen Sakshi Saraswat Fu-Shiang Ching Chih-Yi Su Hsin-Lan Huang Wen-Chi Pan |
| author_sort | Ling-Jyh Chen |
| collection | DOAJ |
| description | Background: Noise pollution is a growing concern for public health and the environment. Traditional noise monitoring methods often have limitations due to short-term measurements and high costs. Objective: This study aims to develop and validate EcoDecibel, a low-cost, IoT-based sensor system for continuous noise monitoring, addressing the gaps in existing noise measurement technologies. Methods: EcoDecibel was compared with Class 1 and Class 2 sound level meters in various conditions. The system was deployed across three environmental sites in Sanzhi District, Taiwan, for one week. Time-series prediction and forecasting models (SARIMA, Prophet, LSTM) were applied to the noise data to predict and forecast noise levels. Results: EcoDecibel demonstrated strong correlation, yielding R2 values of 0.948 and 0.983 in comparison with Class 1 and Class 2 sound level meters and was able to monitor and forecast daily noise patterns effectively. The system performed well across different environments and was capable of continuous real-time monitoring. Conclusions: EcoDecibel presents a cost-effective and reliable solution for long-term environmental noise monitoring. The system is suitable for use in epidemiological studies investigating the relationship between noise exposure and public health outcomes. |
| format | Article |
| id | doaj-art-45541634490e43749f0ca0a056ae1288 |
| institution | Kabale University |
| issn | 1574-9541 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Informatics |
| spelling | doaj-art-45541634490e43749f0ca0a056ae12882025-01-19T06:24:41ZengElsevierEcological Informatics1574-95412025-03-0185102968Development and implementation of EcoDecibel: A low-cost and IoT-based device for noise measurementLing-Jyh Chen0Sakshi Saraswat1Fu-Shiang Ching2Chih-Yi Su3Hsin-Lan Huang4Wen-Chi Pan5Institute of Information Sciences, Academia Sinica, Taipei, TaiwanInternational Ph.D. Program in Environmental Science and Technology, University System of Taiwan, Taiwan; Institute of Environmental and Occupational Health Sciences, National Yang Ming Chiao Tung University, Taipei, TaiwanInstitute of Information Sciences, Academia Sinica, Taipei, TaiwanInstitute of Environmental and Occupational Health Sciences, National Yang Ming Chiao Tung University, Taipei, TaiwanInstitute of Environmental and Occupational Health Sciences, National Yang Ming Chiao Tung University, Taipei, TaiwanInstitute of Environmental and Occupational Health Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan; Corresponding author at: Institute of Environmental and Occupational Health Sciences, National Yang Ming Chiao Tung University, 155 Section 2, Linong Street, Taipei 112, Taiwan.Background: Noise pollution is a growing concern for public health and the environment. Traditional noise monitoring methods often have limitations due to short-term measurements and high costs. Objective: This study aims to develop and validate EcoDecibel, a low-cost, IoT-based sensor system for continuous noise monitoring, addressing the gaps in existing noise measurement technologies. Methods: EcoDecibel was compared with Class 1 and Class 2 sound level meters in various conditions. The system was deployed across three environmental sites in Sanzhi District, Taiwan, for one week. Time-series prediction and forecasting models (SARIMA, Prophet, LSTM) were applied to the noise data to predict and forecast noise levels. Results: EcoDecibel demonstrated strong correlation, yielding R2 values of 0.948 and 0.983 in comparison with Class 1 and Class 2 sound level meters and was able to monitor and forecast daily noise patterns effectively. The system performed well across different environments and was capable of continuous real-time monitoring. Conclusions: EcoDecibel presents a cost-effective and reliable solution for long-term environmental noise monitoring. The system is suitable for use in epidemiological studies investigating the relationship between noise exposure and public health outcomes.http://www.sciencedirect.com/science/article/pii/S1574954124005107Noise pollutionNoise monitoringNoise sensor technologyLow-cost sensorInternet of thingsWireless sensor |
| spellingShingle | Ling-Jyh Chen Sakshi Saraswat Fu-Shiang Ching Chih-Yi Su Hsin-Lan Huang Wen-Chi Pan Development and implementation of EcoDecibel: A low-cost and IoT-based device for noise measurement Ecological Informatics Noise pollution Noise monitoring Noise sensor technology Low-cost sensor Internet of things Wireless sensor |
| title | Development and implementation of EcoDecibel: A low-cost and IoT-based device for noise measurement |
| title_full | Development and implementation of EcoDecibel: A low-cost and IoT-based device for noise measurement |
| title_fullStr | Development and implementation of EcoDecibel: A low-cost and IoT-based device for noise measurement |
| title_full_unstemmed | Development and implementation of EcoDecibel: A low-cost and IoT-based device for noise measurement |
| title_short | Development and implementation of EcoDecibel: A low-cost and IoT-based device for noise measurement |
| title_sort | development and implementation of ecodecibel a low cost and iot based device for noise measurement |
| topic | Noise pollution Noise monitoring Noise sensor technology Low-cost sensor Internet of things Wireless sensor |
| url | http://www.sciencedirect.com/science/article/pii/S1574954124005107 |
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