IoT based solar health monitoring system using edge computing
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Date
2026-06
Journal Title
Journal ISSN
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Publisher
AIKTC
Abstract
This report presents the design and architecture of a low-cost Internet of Things (IoT)-
based solar health monitoring system with the help of edge computing. The main
objective of this work is to develop alternative and low cost and highly reliable monitoring
systems. It uses esp32 as a sub microcontroller whose primary task is to acquire
data from different sensors and broadcast it over bluetooth or wifi. It uses a multi node
method to gather all the sensitive data from all over the plant. In addition, it maintains
its real time data acquisition with making the communication payload as light weight
as possible for live monitoring. At same time there is a central unit that collects all all
data of these sensors by using raspberry pi which act as an edge gateway for local
processing, storage, and cloud synchronization of all key parameters such as voltage,
current, temperature, humidity, and directional light intensity collected from
distributed nodes of the plant. Unlike conventional monitoring where all data of sensors
first gather to centralize controllers for data acquiring and processing which might lead to
loss or change of actual data because of transmission. This allows the system to estimate
photovoltaic panel, battery performance and health as accurately as possible by doing
some mathematical calculation. The architecture is mainly to emphasize scalability, low
power consumption, and suitability for decentralized renewable energy monitoring applications.
Key point : Keywords: edge computing, internet of things, photovoltaic monitoring,
solar health monitoring.