IOT-ENABLED AUTOMATION OF A GEOMETRICALLY OPTIMIZED SMART PADDLEWHEEL AERATOR.
Aquaculture systems face challenges with maintaining dissolved oxygen (DO) levels which result in decreased productivity and create stress for aquatic life while traditional aeration methods waste energy through their ineffective operations. The paper presents an IoT-based geometrically optimized sm...
| Publicado en: | Scientific Culture Vol. 12; no. 5 Part 1; pp. 904 - 916 |
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| Autores principales: | , |
| Formato: | Artículo |
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University of the Aegean
2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=193975239&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 193975239 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 24080071 I6HU jtl: Scientific Culture issn: 24080071 maglogo: N pubinfo: dt: 2026 vid: 12 iid: 5 Part 1 pid: 47715 pub: University of the Aegean artinfo: ui: 193975239 10.5281/zenodo.12511072 ppf: 904 ppct: 12 formats: tig: atl: IOT-ENABLED AUTOMATION OF A GEOMETRICALLY OPTIMIZED SMART PADDLEWHEEL AERATOR. aug: au: Roy, Suranjit Kumar, Avinash affil: Research Scholar, Department of Agricultural Engineering, Assam University, Silchar-788011, India Assistant Professor, Department of Agricultural Engineering, Assam University, Silchar-788011, India su: Automation Structural optimization Real-time computing Energy consumption Internet of things Water quality management Aquaculture sug: subj: Automation Structural optimization Real-time computing Energy consumption Internet of things Water quality management Aquaculture keyword: Dissolved oxygen control Energy-efficient aquaculture IoT-enabled aeration Smart paddlewheel aerator ab: Aquaculture systems face challenges with maintaining dissolved oxygen (DO) levels which result in decreased productivity and create stress for aquatic life while traditional aeration methods waste energy through their ineffective operations. The paper presents an IoT-based geometrically optimized smart paddlewheel aerator which features a real-time monitoring system and an automated controller to achieve oxygen management and energy efficiency. The approach will involve designing an experimental setup using DO temperature and pH sensors which connect to a microcontroller (ESP32/Arduino) and cloud-based monitoring system. The aerator operates automatically according to preset DO limits which control its power state between shutoff at 6mg/L and activation at 4mg/L while the design specifications for blade angle (450 degrees), rotational speed (80-100 RPM), and immersion depth (30-40%) have been optimized to achieve maximum operational efficiency of the aerator. The findings show that the system is accurate and stable with respect to the DO levels (6.12-6.35 mg/L) and stability (1.67 2.08% error). The suggested system improved the DO to 6.8 mg/L versus 5.6 mg/L on conventional methods, and decreased power usage by 32.3% energy saved and enhanced efficiency of 0.0017Wh/ppm, and had a high level of reliability (>97% accuracy, <3 s delay) with the IoT. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2026 holdings: @attributes: islocal: N |
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