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Monitoring and visualization application of smart city energy economic management based on IoT sensors

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Abstract

Urban economic development is not linear, but it always exhibits certain volatility. If the economic fluctuation exceeds a certain range, it may damage the urban economic development. In order to solve the economic damage caused by the excessive fluctuation of the urban economy in the development process, this article is based on the current situation of China's macroeconomic monitoring and early warning and data warehouse-related technologies, analyzed, explained the role of IoT sensors in the macroeconomic early warning system, reviewed the development process of economic monitoring and early warning, sorted out and compared several common economic monitoring methods, and proposed the application of IoT sensors to urban economic monitoring, the idea of early warning, and the construction of an urban economic data monitoring and early warning model. The urban economic data monitoring and early warning model is based on IoT sensors and has carried out research on data transmission, monitoring, forecasting, processing and display. After simulating the model, the results of the simulation experiment show that the accuracy rate of the economic volatility prediction of the model reaches 80%, which has certain practical value.

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Acknowledgements

This work was supported by “Shannxi Soft Science Fund (2021KRM184)”, “the Fundamental Research Funds for the Central Universities by Northwestern Polytechnical University (3102018QD108)”. This work was supported by Doctoral Research Initiation Funding Project of Jilin Engineering Normal University, Project Number:BSSK201905. This work was supported by Guilin science research and technology development plan Project (2016012006, 20160208, 20170101-3, 20180104-12) and Basic ability improvement project for young and middle-aged teachers in Guangxi Universities (2017KY0862).

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Authors and Affiliations

  1. School of Foreign Studies, Northwestern Polytechnical University, Xi’an, 710072, Shaanxi, China

    Qianyuan Li

  2. Practical Teaching Department, Guilin University of Aerospace Technology, Guilin, 541004, Guangxi, China

    Zhiyong Jiang

  3. School of Economics and Trade, Jilin Engineering Normal University, Changchun, 130052, Jilin, China

    Feng Yuan

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  1. Qianyuan Li
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  2. Zhiyong Jiang
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  3. Feng Yuan
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Correspondence to Feng Yuan.

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Li, Q., Jiang, Z. & Yuan, F. Monitoring and visualization application of smart city energy economic management based on IoT sensors. Neural Comput & Applic 34, 6695–6704 (2022). https://doi.org/10.1007/s00521-021-06108-1

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