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Establishing an AI Model on Data Sensing and Prediction for Smart Home Environment Control Based on LabVIEW

Author

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  • Kai-Chao Yao
  • Wei-Tzer Huang
  • Cheng-Chun Wu
  • Teng-Yu Chen

Abstract

In this study, the authors aimed to realize a smart home using an AI model that can be integrated with the Laboratory Virtual Instrument Engineering Workbench ( LabVIEW) application to realize environment control. The collected input data were outdoor temperature, indoor temperature, humidity, illumination, and indoor person count. The output control decisions included control of air conditioners, dehumidifiers, power curtains, and lights. An artificial neural network was utilized to process the input data for machine learning for the objective of achieving a comfortable environment. In addition, the control decision predictions made by this AI model were analyzed for model loss and model accuracy. This study implemented the model. Specifically, LabVIEW was used to design the sensing component, data display, and control interface, and Python was used to establish the intelligent model. Moreover, by using the web publishing tool built into LabVIEW, remote sensing and control were fulfilled in this implementation.

Suggested Citation

  • Kai-Chao Yao & Wei-Tzer Huang & Cheng-Chun Wu & Teng-Yu Chen, 2021. "Establishing an AI Model on Data Sensing and Prediction for Smart Home Environment Control Based on LabVIEW," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-18, July.
    • Handle: RePEc:hin:jnlmpe:7572818
    DOI: 10.1155/2021/7572818
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    Cited by:

    1. Kai-Chao Yao & Kuo-Yi Li & Jing-Ran Xu & Wei-Sho Ho & Yu-Hao Shen, 2022. "Application of TRIZ Innovative System Method in Rapid Assembly of Folding Chairs," Sustainability, MDPI, vol. 14(22), pages 1-37, November.
    2. Elena Korneeva & Nina Olinder & Wadim Strielkowski, 2021. "Consumer Attitudes to the Smart Home Technologies and the Internet of Things (IoT)," Energies, MDPI, vol. 14(23), pages 1-15, November.

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