AI-powered predictive maintenance platform for port infrastructure
Research Project: RAISE Liguria | Servizi: Mobile App, Web App and Artificial Intelligence | Year: 2024/2025
Partners: Tenova - Prosoft Intesys S.r.l.
Innovative predictive maintenance platform for the port sector, designed to support complex operations in environments where efficiency, operational continuity, and safety are essential requirements.
In particular, the solution integrates advanced Artificial Intelligence algorithms for automatic anomaly detection and workflow optimization, combining on-edge processing for real-time interventions with on-cloud analytics for strategic and predictive assessments.
Through this approach, based on the continuous analysis of field data, the platform enables the anticipation of failures and inefficiencies, reducing downtime and transforming collected data into actionable insights to support fast and informed decision-making.
Key Features
Specifically, the platform provides:
- Predictive monitoring of equipment with automatic alerts
- Intelligent analysis of operational workflows
- Anomaly detection through AI and Computer Vision algorithms
- Centralized dashboard for monitoring machinery performance
- Data-driven decision support based on real-time and historical data
From Conceptual Architecture to Daily Operations
From an operational perspective, SafeForPorts translates into practical tools that support monitoring and maintenance activities.
Below are some screenshots of the operational interface used by operators for plant monitoring and on-site workflow management.
Operational Workflows and Process Automation
In this context, SafeForPorts includes a visual tool for the design and management of operational workflows, enabling the definition of rules, conditions, and automated actions based on field data. As a result, this approach allows maintenance procedures to be standardized, reduces manual intervention, and ensures traceability and consistency in operational decision-making.
The platform is based on a modular and scalable architecture that integrates several advanced technologies:
- Computer Vision: visual monitoring of machinery for automatic anomaly detection.
- Artificial Intelligence (AI): predictive models for maintenance and workflow optimization.
- Data Analysis & Data Engineering: data collection, management, and analysis to generate operational insights.
- Edge & Cloud Architecture: distributed data processing for real-time operations and long-term analytics.