Smart Sensing Technology for Industry and Environmental Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Industrial Sensors".
Deadline for manuscript submissions: 10 August 2025 | Viewed by 121
Special Issue Editors
Interests: sustainability; energy efficiency in building; thermal comfort; indoor environmental quality; environmental monitoring systems; supervised machine learning; data analysis; parametric design; additive manufacturing
Special Issues, Collections and Topics in MDPI journals
Interests: measurements; sensors; IR sensors; wearable sensors; thermal comfort; indoor air quality; buildings monitoring; signal processing; data analysis; energy efficiency
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Smart sensing technology enables real-time data collection, analysis and decision making. These advanced sensors, often equipped with AI and machine learning algorithms, can detect changes in the physical environment and provide feedback in real time.
Smart sensors enhance the efficiency, safety and productivity of industry by monitoring the performance of equipment, predicting maintenance needs and preventing costly downtime. They enable the automation of manufacturing processes by allowing machines to communicate with each other to enhance precision and reduce waste. Smart sensors also improve worker safety by detecting hazardous conditions and triggering automatic shutdowns or warnings.
In the environmental field, smart sensor technology plays a crucial role in monitoring the quality of air and water, as well as the environmental quality of the built environment. It is therefore also utilized to assess the impact of climate change. Networks of environmental sensors, for example, can detect pollutants in real time, providing useful data for regulatory compliance and the protection of public health. These systems also enable the continuous remote monitoring of indoor or outdoor environmental quality, contributing to more effective environmental protection measures.
The integration of smart sensor technology into various industries and environmental monitoring systems leads to more sustainable operations, a reduced environmental impact and enhanced resource management. The ability of this technology to process and respond to data in real time makes it a prerequisite for future innovation in both areas. Smart sensor technology integrated into wearables serves as a bridge between the individual and the broader smart sensor ecosystem, improving health, safety and environmental awareness. Equipped with advanced sensors such as accelerometers, gyroscopes, temperature sensors and biometric detectors, wearables can capture various physiological and environmental parameters with high precision.
In the area of health and wellness, wearables help users to optimize their health and detect signs of problems at an early stage.
In industry, wearables can monitor workers’ vital signs and alert them to fatigue or hazardous conditions. They can also track workers' movements in hazardous environments to prevent accidents and elevate their efficiency.
In the field of environmental sensing, wearables can support wider initiatives to control pollution, monitor climate and assess the quality of the build environment.
In this context, this Special Issue welcomes the submission of original papers that address all aspects of smart sensor technology in general, as well as in wearables. The scope of this Special Issue includes, but is not limited to, the following topics:
- IoT-based monitoring systems;
- Sensors and sensor networks for smart buildings;
- Sensors and sensor networks for the optimization of manufacturing processes;
- Monitoring for BIM and digital twins;
- Wearables for environmental monitoring;
- Wearables for industrial applications;
- Wearables for continuous human health monitoring;
- ML, or more generally, AI-based approaches for data analysis.
Dr. Francesco Salamone
Dr. Marco Arnesano
Guest Editors
Manuscript Submission Information
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Keywords
- IoT-based monitoring systems
- sensors and sensor networks for smart buildings
- sensors and sensor networks for the optimization of manufacturing processes
- monitoring for BIM and digital twins
- wearables for environmental monitoring
- wearables for industrial applications
- wearables for continuous human health monitoring
- ML, or more generally, AI-based approaches for data analysis
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