IoT-Based Real-Time Monitoring and Anomaly Detection in Smart Ports and Maritime Infrastructure
Year: 2026
Type: conference-paper
Abstract: With the rapid development of digital technologies and the growth of global logistics flows, the implementation of intelligent monitoring systems in maritime infrastructure is particularly relevant. This paper examines the concept of a real-time Internet of Things (IoT) system integrated with artificial intelligence algorithms for anomaly detection in smart ports and maritime facilities. The proposed architecture includes a distributed network of sensors that continuously collect data on the condition of equipment, the environment, and operational processes, as well as an analytical module that uses machine learning methods to identify deviations and potential risks. Particular attention is paid to the application of AI models to improve the safety, resilience, and efficiency of port infrastructure, including early detection of malfunctions, accident prevention, and optimization of logistics operations. Environmental sustainability issues, such as monitoring emissions and the state of the aquatic environment, are considered, meeting modern requirements for reducing negative environmental impacts. The paper also addresses aspects of the social significance and responsibility of AI, including increasing the transparency of decisions and reducing the human factor in critical processes. The proposed solution demonstrates the potential of using AI and IoT to transform the maritime industry towards safer, more sustainable and intelligent management systems.
Language: English
Topic: Maritime Ports and Logistics
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7166188280