A Preliminary Review of an Artificial Intelligence-Driven System for the Maintenance, Monitoring, and Management of Facilities within Higher Educational Institutions in Niger State

The infrastructure of Higher Educational Institutions (HEIs) in Niger State, Nigeria, faces significant challenges due to poor maintenance culture, financial constraints, and substandard construction practices. This review explores the potential of an Artificial Intelligence (AI)-based Maintenance, Monitoring, and Management System to address these issues. By leveraging AI, Decision Support Systems (DSS), and Agile methodologies, the proposed system aims to enhance proactive maintenance, improve cost-effectiveness, and ensure sustainable infrastructure management. A systematic review of extant literature and insights from the Federal University of Technology, Minna, highlights the system\'s transformative potential. The findings call for digitalisation to bridge communication gaps, optimise resource allocation, and improve academic environments. This Study provides a foundation for future research and practical implementation of AI-driven solutions in Nigerian HEIs.

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Publication Details

Journal
Confluence University Journal of Science and Technology
Published
2025-01-01
DOI
https://doi.org/10.5455/cujostech.251011
Primary Topic
COVID-19 diagnosis using AI
Type
article
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article

A Preliminary Review of an Artificial Intelligence-Driven System for the Maintenance, Monitoring, and Management of Facilities within Higher Educational Institutions in Niger State

Richard Ajayi Jimoh, Gbenga Morenikeji, Olurotimi Adebowale Kemiki, Babatunde Ayoola et al.
Confluence University Journal of Science and Technology
COVID-19 diagnosis using AI
article

A Preliminary Review of an Artificial Intelligence-Driven System for the Maintenance, Monitoring, and Management of Facilities within Higher Educational Institutions in Niger State

Richard Ajayi Jimoh, Gbenga Morenikeji, Olurotimi Adebowale Kemiki, Babatunde Ayoola, Precious Emwerem, Taliah Folorunso
article en

Abstract

The infrastructure of Higher Educational Institutions (HEIs) in Niger State, Nigeria, faces significant challenges due to poor maintenance culture, financial constraints, and substandard construction practices. This review explores the potential of an Artificial Intelligence (AI)-based Maintenance, Monitoring, and Management System to address these issues. By leveraging AI, Decision Support Systems (DSS), and Agile methodologies, the proposed system aims to enhance proactive maintenance, improve cost-effectiveness, and ensure sustainable infrastructure management. A systematic review of extant literature and insights from the Federal University of Technology, Minna, highlights the system\'s transformative potential. The findings call for digitalisation to bridge communication gaps, optimise resource allocation, and improve academic environments. This Study provides a foundation for future research and practical implementation of AI-driven solutions in Nigerian HEIs.

Confluence University Journal of Science and TechnologyVol. 2(2)
Openalex Percentile: Top 59%
COVID-19 diagnosis using AI
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