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Development path based on the equalization of public services under the management mode of the Internet of Things

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  • Wu, Jing
  • Xiao, Jian

Abstract

The Internet of Things management model is a management process and scientific management model, which effectively connects the end of perception and the end of communication. The effective linkage between the cloud and the application side promotes technological innovation, management innovation and system innovation. This article aims to study the development of equalization of public services under the management mode of the Internet of Things. This article uses quantitative analysis and comparative research methods to analyze the imbalance of public services, and compares the level of equalization of public services in different time periods, conceives a way to develop equalization of public services under the management mode of the Internet of Things, and discusses Its construction method and its impact on equalization. The experimental results of this paper show that the development of equalization of public services under the management mode of the Internet of Things is getting better and better. The government's investment in public services has increased by 24%. The applications of various applications in the Internet of Things have slowly penetrated, but because the Internet of Things is still It is in its infancy, so the growth rate is a bit slow. Among them, the application of education in the Internet of Things has increased from 25% to 29%.

Suggested Citation

  • Wu, Jing & Xiao, Jian, 2022. "Development path based on the equalization of public services under the management mode of the Internet of Things," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    • Handle: RePEc:eee:soceps:v:80:y:2022:i:c:s0038012121000197
    DOI: 10.1016/j.seps.2021.101027
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    References listed on IDEAS

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    1. Li, Yong & Wen, Zhe & Cao, Yijia & Tan, Yi & Sidorov, Denis & Panasetsky, Daniil, 2017. "A combined forecasting approach with model self-adjustment for renewable generations and energy loads in smart community," Energy, Elsevier, vol. 129(C), pages 216-227.
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