Evaluation and enhancement of smart community system based on big data

Huiwen Wu; Xiaoping Huang

doi:10.1117/12.3031499

19 July 2024 Evaluation and enhancement of smart community system based on big data

Huiwen Wu, Xiaoping Huang

Proceedings Volume 13181, Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024); 131816D (2024) https://doi.org/10.1117/12.3031499
Event: Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024), 2024, Beijing, China

Abstract

With the rapid development of big data technology, the application of smart community system is more and more extensive, but it also faces the problem of evaluation and enhancement. This paper aims to explore the evaluation and enhancement of smart community system based on big data. First, it introduces the basic concepts and characteristics of smart community system, then expounds the index system and methods of smart community system evaluation based on big data, then analyzes the key technologies and strategies of smart community system enhancement, and finally puts forward the future research direction and prospect. Improve the efficiency of community management and service. Through big data analysis, the services and management of the community can be intelligently optimized, so as to improve the efficiency of community management and service. Improve the quality of life of community residents: The smart community system can provide a more convenient and comfortable living environment for community residents through various intelligent means. For example, through the smart home system, the remote control of home equipment can be achieved to improve the convenience of life.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Huiwen Wu and Xiaoping Huang "Evaluation and enhancement of smart community system based on big data", Proc. SPIE 13181, Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024), 131816D (19 July 2024); https://doi.org/10.1117/12.3031499

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