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

Date published

2024-10-30

Free to read from

2024-11-04

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EnPress Publisher

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Article

ISSN

2572-7923

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Citation

Jiang Y, Tran TH, Collins M, Williams L. (2024) Development of Internet of Things and Artificial Intelligence for intelligent sanitation systems: a literature review. Journal of Infrastructure, Policy and Development, Volume 8, Issue 12, 2024, Article Number 7889

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.

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Github

Keywords

Artificial Intelligence (AI), data-driven solution, health monitoring, intelligent sanitation, Internet of Things (IoT), smart sanitation, smart system, sustainable development

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Attribution 4.0 International

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This publication is based on research funded by the Bill & Melinda Gates Foundation [Grant Number INV-053587]. Please note, the findings and conclusions contained within are those of the authors and do not necessarily reflect positions or policies of the Bill & Melinda Gates Foundation.

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