Preprint has been published in a journal as an article
DOI of the published article https://doi.org/10.1007/s40032-025-01237-1
Preprint / Version 1

Need for a Smart Autonomous Bilge Management System: A Review

##article.authors##

  • Shishir Dutt Indian Maritime University
  • Dr. Sanjeet Kanungo Tolani Maritime Institute

DOI:

https://doi.org/10.31224/4310

Keywords:

AI Research, ML, AI Engineering, AI Application, Pollution prevention, wastewater pollution, ship, Ship Operators, Wastewater, Wastewater treatment, Automation, Autonomous System, Regulatory framework, Emissions regulations, violation, Green transition

Abstract

The discharge of bilge water from ships, regulated under MARPOL regulations, presents significant environmental and operational challenges. Despite stringent regulations, compliance remains inconsistent due to economic pressures and the limitations of current monitoring technologies, which rely heavily on rudimentary automation that, in turn, depends largely on human intervention and interpretation. This paper explores the application of artificial intelligence (AI) and machine learning (ML) in water level management and related fields, drawing parallels to their potential application in bilge water management. A novel concept for a Smart Autonomous Bilge Management System (SABIMS) is introduced.

Downloads

Download data is not yet available.

Author Biography

Dr. Sanjeet Kanungo, Tolani Maritime Institute

Professor Marine Engineering and Principal, Tolani Maritime Institute, Pune, India.

Downloads

Posted

2025-01-16