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IoT-Based Non-intrusive Energy Wastage Monitoring in Modern Building Units

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Wireless Algorithms, Systems, and Applications (WASA 2021)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12937))

Abstract

Energy wastage is common in commercial buildings. There are many occasions that lighting, heating/cooling, and ventilation systems remain ON even when the area is unoccupied. However, conserving energy while having no effect on the occupants’ activities for different rooms in a building is a challenging objective. In this paper, we propose an Internet-of-Things (IoT)-based non-intrusive energy wastage monitoring system for efficient energy wastage monitoring in modern building units. The human presence in a room is monitored by using low-cost low-resolution Passive InfraRed (PIR) and thermal sensors. The operating states of Lighting and Heating/Cooling systems are detected by multi-sensor fusion and non-intrusive state monitoring. The sensor data is transmitted to the server by Narrowband IoT (NB-IoT) and the energy wastage event can be detected within a short period on the server. We implement an energy efficient operational algorithm along with several power optimizations. We also provide a complete power profile of the node to demonstrate energy efficiency. Experimental results show that the detection accuracy of an electricity wastage event is more than 94%.

This work was supported by the National Key Research and Development Program of China under grant No. 2019YFB2102200.

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Author information

Authors and Affiliations

  1. School of Computer Science and Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China

    Muhammad Waqas Isa & Xiangmao Chang

Authors
  1. Muhammad Waqas Isa
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  2. Xiangmao Chang
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Correspondence to Xiangmao Chang .

Editor information

Editors and Affiliations

  1. Nanjing University of Aeronautics and Astronautics, Nanjing, China

    Zhe Liu

  2. Shanghai Jiao Tong University, Shanghai, China

    Fan Wu

  3. Missouri University of Science and Technology, Rolla, MO, USA

    Sajal K. Das

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Isa, M.W., Chang, X. (2021). IoT-Based Non-intrusive Energy Wastage Monitoring in Modern Building Units. In: Liu, Z., Wu, F., Das, S.K. (eds) Wireless Algorithms, Systems, and Applications. WASA 2021. Lecture Notes in Computer Science(), vol 12937. Springer, Cham. https://doi.org/10.1007/978-3-030-85928-2_14

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  • DOI: https://doi.org/10.1007/978-3-030-85928-2_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-85927-5

  • Online ISBN: 978-3-030-85928-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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