Need for a Smart Autonomous Bilge Management System: A Review

2025 · doi:10.32942/x2hg9h
preprint OA: closed
Full text JSON View at publisher

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.
Full text 1,423 characters · extracted from oa-doi-fallback · 2 sections · click to expand

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. DOI https://doi.org/10.32942/X2HG9H Subjects Engineering

Keywords

marine, marine engineering, MARPOL, Regulatory, Pollution Prevention, AI/ML, Artificial Intelligence, machine learning, Bilge Water, Bilge Management System, SABIMS, autonomous systems, Oily Water Separator Dates Published: 2025-01-17 08:00 License CC-By Attribution-NonCommercial-NoDerivatives 4.0 International Additional Metadata Conflict of interest statement: The authors declare that they have no known conflicts of interest associated with this publication. Data and Code Availability Statement: Review paper only, there is no data or code requirement Language: English

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

⚙ Ask this paper AI returns verbatim quotes from the full text · source: oa-doi-fallback ⓘ

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00