Framework for Asset Digitalization: IoT Platforms and Asset Health Index in Maintenance Applications
Source abstract
Abstract
This study proposes a comprehensive framework for digitalizing and managing assets with low initial digital maturity, focusing on their operation and maintenance (O&M) lifecycle. The framework integrates Internet of Things (IoT) networks with Asset Health Index (AHI) models through four interconnected components. The Asset Definition Model ensures standardized data representation based on IEC 81346-1:2022 and ISO 14224:2016, while the Asset Criticality Model prioritizes maintenance actions using risk-informed analysis. The Asset Monitoring Model enables real-time data acquisition through IoT sensors, facilitating condition-based monitoring and dynamic decision-making. Finally, the Intelligent Asset Management Models support long-term planning by simplifying data complexity and aligning with advanced maintenance strategies. A case study on bridge maintenance demonstrates the practical value of the framework, showcasing its ability to integrate real-time monitoring with predictive decision-making tools. By bridging asset monitoring and lifecycle planning, the framework enhances operational efficiency, reduces maintenance costs, and addresses the challenges posed by limited digital maturity in critical infrastructure. This approach represents a significant advancement in the digital transformation of maintenance management.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Quality and Safety in Healthcare · Digital Transformation in Industry · Occupational Health and Safety Research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Industrial Management, University of Seville, 41004 Sevilla, Spain
ICEI & Department of Management, Complutense University of Madrid, 28040 Madrid, Spain
Department of Electronic Engineering, University of Seville, 41004 Sevilla, Spain
Funding
Spanish Ministry of Science and Innovation
References (60)
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