DEVELOPMENT OF SMART SENSOR NETWORKS BASED ON NANOMATERIALS FOR PRECISE ENVIRONMENTAL MONITORING AND INTELLIGENT INFRASTRUCTURE MANAGEMENT SYSTEMS
Abstract
Environmental and infrastructure monitoring increasingly requires sensing systems that are accurate, distributed, responsive, and capable of converting complex observations into actionable management information. This study aimed to develop a nanomaterial-based smart sensor network for precise environmental monitoring and intelligent infrastructure management. A Design Science Research approach was employed through nanomaterial characterization, sensor fabrication, laboratory calibration, wireless network integration, edge processing, anomaly detection, and prototype evaluation under controlled and semi-realistic conditions. The developed network demonstrated high measurement accuracy, strong packet-delivery performance, reliable node availability, and effective detection of environmental and structural anomalies. Multivariable analysis showed that combining humidity, corrosion, strain, pollutant, and communication data generated earlier and more informative warnings than isolated sensor thresholds. Edge filtering reduced unnecessary transmission, while local buffering improved data continuity during communication disruptions. The study concludes that the value of nanomaterial-based sensing depends not only on sensitivity but also on integration with reliable communication, intelligent analytics, and management-oriented decision support. The proposed architecture provides a practical framework for transforming nanoscale sensing capabilities into scalable cyber-physical monitoring systems that support environmental surveillance, predictive maintenance, and more adaptive infrastructure management under increasingly complex operational conditions. These findings establish a pathway toward resilient, data-driven, and resource-efficient monitoring ecosystems worldwide.
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References
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