What is it about?

This paper focuses on appropriate technology to improve solar photovoltaic module maintenance. An artificial intelligence approach to the maintenance of Solar PV modules was proposed. The approach is to eliminate huge maintenance line during maintenance, reduce accidents, and work hours during maintenance.

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Why is it important?

The proximity technology used was the inductive type that detects magnetic loss due to eddy currents that are generated on a conductive surface by an external magnetic field.


The system is designed to have abilities to initiate maintenance process on condition of timing and environmental factors. A block diagram consisting of mechatronic devices, electronic sensors and timing circuits were used. The system detects targets by pattern, feature, and colour of the solar photovoltaic modules in array.

Mr Collins Oduro
Nanjing University of Information Science and Technology

Read the Original

This page is a summary of: A Survey on an Artificial Intelligence Approach to Maintenance of Solar Photovoltaic Modules, January 2021, Springer Science + Business Media,
DOI: 10.1007/978-3-030-67090-0_41.
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