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Research on Energy Consumption Data Monitoring of Smart Parks Based on IoT Technology

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Advanced Hybrid Information Processing (ADHIP 2023)

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Abstract

Intelligent park energy consumption data monitoring is the basis of effective energy management. By monitoring energy consumption data, you can understand the energy consumption of each equipment, system and region in the park, and analyze and evaluate energy use. This helps identify energy consumption problems, optimize energy use, and develop sound energy management practices. Therefore, a smart park energy consumption data monitoring method based on Internet of Things technology is proposed. The perception layer of the Internet of Things technology is used to control the energy of the smart park through the collection, transmission and control of monitoring data. The energy consumption data of each layer of the large-scale smart park is collected through the sensor network. The host computer uses USB interface to obtain data from the gateway. Based on this, the energy consumption data is preprocessed by using power error data correction and missing data fitting compensation steps. By using Gaussian function to analyze the characteristics of energy consumption sample data of the smart park, a multiple linear regression model is constructed to complete the monitoring of energy consumption data of the smart park. The experimental results show that the smart park energy consumption sequence under the proposed method is more stable in fit degree, more accurate in prediction and shorter in response time.

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Authors and Affiliations

  1. Business School, Shanghai Sanda University, Shanghai, 201209, China

    Hao Zhu

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  1. Hao Zhu
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Correspondence to Hao Zhu .

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Editors and Affiliations

  1. Harbin Engineering University, Harbin, China

    Lin Yun

  2. Harbin Engineering University, Harbin, China

    Jiang Han

  3. Harbin Engineering University, Harbin, China

    Yu Han

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© 2024 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Zhu, H. (2024). Research on Energy Consumption Data Monitoring of Smart Parks Based on IoT Technology. In: Yun, L., Han, J., Han, Y. (eds) Advanced Hybrid Information Processing. ADHIP 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 548. Springer, Cham. https://doi.org/10.1007/978-3-031-50546-1_2

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  • DOI: https://doi.org/10.1007/978-3-031-50546-1_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-50545-4

  • Online ISBN: 978-3-031-50546-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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