Internet of Things for Structural Health Monitoring
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: closed (31 August 2020) | Viewed by 27301
Special Issue Editors
2. CNR-NANOTEC, 87036 Rende, CS, Italy
Interests: measurements; distributed measurement systems; measurement and monitoring systems based on the IoT; measurement and monitoring systems based on AI; wireless sensor network; synchronization of measurement instruments and sensors; non-invasive measurements; non-destructive testing
Special Issues, Collections and Topics in MDPI journals
Interests: measurements; structural health monitoring; noninvasive monitoring; distributed monitoring; Internet of Things; numerical analysis; cultural heritage; experimental analysis on construction materials; mechanical characterization of materials; genetic algorithm
Special Issues, Collections and Topics in MDPI journals
Interests: electronic measurements; automatic signal classification systems; measurements in the biomedical field; measurements on telecommunication signals/equipment; distributed measurement systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The Internet of Things (IoT) is emerging as an important technology for monitoring systems, and it is crucial in the framework of structural health monitoring for modern and ancient structures (new and cultural heritage buildings, bridges, roads, dikes, walls, monuments, and so on). This Special Issue aims to highlight advances in the open research topics in this field, which include, but are not limited to, the following:
- IoT-based distributed data acquisition systems for structural health monitoring;
- Development, modeling, testing, and metrological characterization of sensors, smart measurement instruments, and smart objects for non-invasive or semi-invasive structure monitoring;
- Compressive sensing;
- Communication network design and optimization;
- Energy saving and energy harvesting methods and techniques;
- Synchronization methods and techniques for signals and data acquisition systems;
- Data collection and management methods (big data and data retrieval);
- Automatic classifiers for danger detection, alarm generation, automatic scheduling of inspections, and maintenance activities;
- New numerical models describing the structural behavior of buildings and structures.
Prof. Dr. Francesco Lamonaca
Dr. Carmelo Scuro
Dr. Domenico Luca Carnì
Guest Editors
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Keywords
- IoT for structural health monitoring
- Non-invasive monitoring
- Semi-invasive monitoring
- Nondestructive testing
- Sensors for structural health
- Compressive sensing
- Measurement methods for structural health
- Distributed measurement systems for structural health monitoring
- Synchronization of signals, smart objects, and devices
- Wireless sensor networks
- Structural health monitoring of cultural heritage buildings and sites
- Energy saving
- Energy harvesting
- Post-seismic and pre-seismic evaluation protocols
- Big data
- Data retrieval
- Automatic classifiers
- Artificial intelligence
- Cultural heritage monitoring
- Numerical analysis
- Genetic algorithm
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