Development of Internet of Things and Artificial Intelligence for intelligent sanitation systems: A literature review

Abstract

Adequate sanitation is crucial for human health and well-being, yet billions worldwide lack access to basic facilities. This comprehensive review examines the emerging field of intelligent sanitation systems, which leverage Internet of Things (IoT) and advanced Artificial Intelligence (AI) technologies to address global sanitation challenges. The existing intelligent sanitation systems and applications is still in their early stages, marked by inconsistencies and gaps. The paper consolidates fragmented research from both academic and industrial perspectives based on PRISMA protocol, exploring the historical development, current state, and future potential of intelligent sanitation solutions. The assessment of existing intelligent sanitation systems focuses on system detection, health monitoring, and AI enhancement. The paper examines how IoT-enabled data collection and AI-driven analytics can optimize sanitation facility performance, predict system failures, detect health risks, and inform decision-making for sanitation improvements. By synthesizing existing research, identifying knowledge gaps, and discussing opportunities and challenges, this review provides valuable insights for practitioners, academics, engineers, policymakers, and other stakeholders. It offers a foundation for understanding how advanced IoT and AI techniques can enhance the efficiency, sustainability, and safety of the sanitation industry.

Publication DOI: https://doi.org/10.24294/jipd.v8i12.7889
Divisions: College of Business and Social Sciences
College of Business and Social Sciences > Aston Business School
Aston University (General)
Additional Information: Copyright © 2024 Yirui Jiang, Trung Hieu Tran, Matt Collins, Leon Williams. Journal of Infrastructure, Policy and Development is published by EnPress Publisher, LLC. This work is licensed under the Creative Commons Attribution (CC BY) license: https://creativecommons.org/licenses/by/4.0/
Uncontrolled Keywords: Artificial Intelligence (AI),data-driven solution,health monitoring,intelligent sanitation,Internet of Things (IoT),smart sanitation,smart system,sustainable development,Development,Social Sciences (miscellaneous),Urban Studies,Public Administration
Publication ISSN: 2572-7923
Last Modified: 25 Apr 2025 07:12
Date Deposited: 24 Apr 2025 13:01
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
https://systems ... ticle/view/7889 (Publisher URL)
PURE Output Type: Review article
Published Date: 2024-10-30
Published Online Date: 2024-10-30
Accepted Date: 2024-08-22
Authors: Jiang, Yirui
Tran, Trung Hieu (ORCID Profile 0000-0002-3989-4502)
Collins, Matt
Williams, Leon

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License: Creative Commons Attribution


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