548 / 2022-03-29 18:20:26
Research on Mapping Method Between Smart Energy and Intelligent Sensing Terminal
Internet of Things,smart energy system,smart city,smart terminal
终稿
Siyang Liu / State Key Laboratory of Power Equipment & System Security and New Technology, School of Electrical Engineering, Chongqing University, Chongqing, China;Yunnan Key Laboratory of Green Energy, Electric Power Measurement Digitalization, Control and Protection, Yunnan Power Grid Co., Ltd.
Yuxing Mao / State Key Laboratory of Power Equipment & System Security and New Technology, School of Electrical Engineering, Chongqing University, Chongqing, China
Yunfeng Long / State Key Laboratory of Power Equipment & System Security and New Technology, School of Electrical Engineering, Chongqing University, Chongqing, China
pan jianyu / State Key Laboratory of Power Equipment & System Security and New Technology, School of Electrical Engineering, Chongqing University, Chongqing, China
Jiang Tianyan / State Key Laboratory of Power Equipment & System Security and New Technology, School of Electrical Engineering, Chongqing University, Chongqing, China
Yongjie Nie / Yunnan Key Laboratory of Green Energy, Electric Power Measurement Digitalization, Control and Protection, Yunnan Power Grid Co., Ltd.
Purpose/Aim

In the process of smart city construction, each city has its own characteristics, so we should implement policies according to the city. Smart energy is an important cornerstone of smart city construction. We should design smart city application scenarios with the interconnection of energy and environment, transportation, security and users as the main line, study how to reasonably allocate smart terminal resources, and carry out targeted smart city application scenario planning and design. It is of great theoretical and practical significance to support a smart city that uses safe, efficient and clean energy with a smart energy system based on the Internet of things.

Experimental/Modeling methods

From the transfer relationship between scene description model and function requirements, the relationship between multi-source heterogeneous data and function target value is analyzed, and a multi-source and multi-dimensional function transfer function model is constructed. The dimensionality reduction algorithm of high-dimensional multi-source heterogeneous data is studied, and the optimal probability statistical method or artificial intelligence method of decoupling complex transfer function is proposed. Finally, an adaptive intelligent perception information model is established according to the standardized functional requirements.

Results/discussion

The multiple linear regression method based on urban attributes is used to establish the smart city application scenario design model, form a universal smart city application scenario design method, consider the energy characteristics, attributes, positioning and other factors of the demonstration city, and form a specific application scenario of smart energy in the demonstration city.

Conclusions

Smart energy is the foundation of smart city. With the terminal as the core, design a smart city application scenario with the interconnection of energy and environment, transportation, security and users as the main line, verify the function and performance of the terminal, and verify the role of the terminal in the smart energy scenario and its contribution to the smart city.
重要日期
  • 会议日期

    09月25日

    2022

    09月29日

    2022

  • 08月15日 2022

    提前注册日期

  • 09月10日 2022

    报告提交截止日期

  • 11月10日 2022

    注册截止日期

  • 11月30日 2022

    初稿截稿日期

  • 11月30日 2022

    终稿截稿日期

主办单位
IEEE DEIS
承办单位
Chongqing University
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