STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Polymer & Composites Original Research Special issue

IoT-Enabled Self-Monitoring Polymer Composites for Solar Facade Systems with Cloud-Based Thermal Analytics

  1. Megha Mudholkar Department of Computer Engineering, Marwadi University, Rajkot
  2. Pankaj Mudholkar Faculty of Computer Applications, Marwadi University, Rajkot
  3. Pavitar Singh Department of Civil Engineering, School of Engineering and Technology, CGC University, Mohali
  4. Shakila Shaikh Department of Computer Engineering, Mukesh Patel School of Technology, Management & Engineering, SVKM’s NMIMS, Mumbai
  5. P. Santhi Department of Artificial Intelligence and Data Science, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology
  6. Pellakuri Vidyullatha Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Greenfields, Vaddeswaram, Guntur
  7. Afshan Tabasum Department of Pharmacy, Lado Institute

Abstract

The increasing demand for intelligent and energy-efficient building systems has hastened the production of smart solar facade systems. This paper presents an IoT-based self-monitoring polymer composite system, which includes thermal analytics running on the cloud to provide real-time assessments of the performance of the facade. The artificial composite panel has sensing capability built in which the material is able to measure both surface and internal thermal behavior simultaneously in dynamic environmental conditions. To assure the reliability of the experiment, a hybrid real-world data-set that integrates on-site and confirmed meteorological data were used. The system uses edge-based preprocessing, and cloud-based analytics to extract important thermal features, such as temperature gradients and response rates, and then detects anomalies in a composite scoring system. The experimental results showed that the system has a detection of 94.8% and 1.8-minutes response time, which is better than the traditional systems of IoT-based monitoring. The composite possesses a stable thermoresistive and thermal conductivity which is a testimony to its use in integrated sensing. The suggested framework will provide one of the potential solutions to these problems as it will combine the material-level intelligence with the system-level monitoring, which will facilitate gaining a better understanding of thermal, detect faults as soon as possible, and minimize the reliance on external sensors. The findings reveal what could be accomplished with self-observation composites to develop more next generation smart facades and sustainable building infrastructures.

Keywords

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