Remote Sensing for Infrastructure Health Monitoring: Advancements in Sensors and Analysis

Dear Colleagues,

Ensuring the timely detection of structural damage is vital in terms of safeguarding the integrity and functionality of critical infrastructure across a diverse range of sectors, including aviation, roadways, railways, bridges, telecommunications, power and energy, water, waste management, and recreational facilities. Early identification of abnormal infrastructure conditions facilitates the swift issuance of warnings and the implementation of maintenance measures, averting potential loss of life, economic setbacks, and other adverse consequences. Moreover, ongoing monitoring provides valuable insights for efficient infrastructure management, enabling proactive maintenance planning and optimal resource allocation. However, the convergence of challenges, such as aging infrastructure, financial constraints, an increasing incidence of extreme weather events, and rapid climate change, underscores the urgent need for advanced sensor technologies and methodologies for comprehensive yet cost-effective structural health monitoring to enhance durability and extend service life. Fortunately, the emergence of transformative technologies in sensors, machine learning, the Internet of Things (IoT), edge computing, and artificial intelligence (AI) presents unparalleled opportunities. Leveraging these innovations for infrastructure health monitoring promises to revolutionize the sustainability and resilience of infrastructure through the development and implementation of cutting-edge tools and techniques, enabling more proactive maintenance, enhanced risk management, and improved overall infrastructure performance.

The aim of this Special Issue is to explore recent advancements in sensors and analysis techniques within the realm of infrastructure health monitoring. We particularly welcome multidisciplinary contributions and potential submission topics encompass, but are not restricted to:

• The implementation of sensor networks for real-time monitoring of structural health parameters such as strain, vibration, and temperature;
• The development of AI algorithms for predictive maintenance, leveraging sensor data to detect and forecast potential infrastructure failures;
• The integration of IoT devices to enable remote monitoring and management of critical infrastructure assets;
• The exploration of edge computing solutions to process sensor data locally and reduce latency in decision-making;
• The application of machine learning techniques for anomaly detection and fault diagnosis in infrastructure systems;
• The utilization of advanced image processing algorithms for visual inspection of infrastructure components using drones or cameras;
• The investigation of wireless sensor networks for distributed monitoring of large-scale infrastructure networks;
• Research into multi-modal data fusion techniques to combine information from various sensors and sources for comprehensive infrastructure health assessment.

Dr. Guangwei Yang
Dr. Guangyang Hou
Dr. Hang Zeng
Dr. Guolong Wang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Infrastructures is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• remote sensing
• infrastructure health monitoring
• computer vision
• artificial intelligence
• deep learning
• distress detection
• edge computing
• Internet of Things