IoT-Based Solar Energy Measurement and Monitoring Model

Chitra, L. and Gowri, N. Vasantha and Maheswari, M. and Uike, Dipesh and Medikondu, N. R. and Al-Ammar, Essam A. and Metwally, Ahmed Sayed Mohammed and Islam, Ataul and Diriba, Abdi and Ramesh Bapu, BR (2022) IoT-Based Solar Energy Measurement and Monitoring Model. International Journal of Photoenergy, 2022. pp. 1-8. ISSN 1110-662X

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Abstract

In the early days, greenhouse energy did not pay much attention to coating inspections and new applications, spending more attention on repair solar energy projects instead. However, these attitudes have recently changed. Energy producers realize that preventing corrosion and deterioration is less expensive than solving the greenhouse problems when they occur. The proposed model also provides coating, paint control, and error analysis services within the scope of solar machinery and equipment-related services while the greenhouse equipment reached a low energy level. The greenhouse monitoring services ensure that a solar plant is economical, reliable, and of high quality, meets legal requirements, conforms to standards published by domestic and foreign organizations, and determines conditions that cause short circuits or power outages. In this context, with the help of cloud computing-based Internet of things (IOT), the industrial power stations, high-voltage substations, low-voltage networks, power stations that comply with legal regulations on safety from electricity, electrical installations for machinery, alarm systems, fire alarm systems, cathodic corrosion protection mechanisms in oil tanks and pipelines, emergency power supply installations, electrical installations in buildings, and gas alarm systems are inspected and documented. © 2022 Elsevier B.V., All rights reserved.

Item Type: Article
Subjects: Pharmacology, Toxicology and Pharmaceutics > Toxicology
Divisions: Engineering and Technology > Aarupadai Veedu Institute of Technology, Chennai > Electrical & Electronics Engineering
Depositing User: Unnamed user with email techsupport@mosys.org
Last Modified: 02 Dec 2025 09:27
URI: https://vmuir.mosys.org/id/eprint/2919

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